{"title":"Image processing Books","description":"","products":[{"product_id":"unsupervised-learning-in-space-and-time-a-modern-approach-for-computer-vision-using-graph-based-techniques-and-deep-neural-networks-9783030421274","title":"Unsupervised Learning in Space and Time: A Modern","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers important scientific discoveries and findings, with a focus on the latest advances in the field.\u003c\/p\u003e  \u003cp\u003ePresenting a coherent structure, the book logically connects novel mathematical formulations and efficient computational solutions for a range of unsupervised learning tasks, including visual feature matching, learning and classification, object discovery, and semantic segmentation in video. The final part of the book proposes a general strategy for visual learning over several generations of student-teacher neural networks, along with a unique view on the future of unsupervised learning in real-world contexts.\u003c\/p\u003e  \u003cp\u003eOffering a fresh approach to this difficult problem, several efficient, state-of-the-art unsupervised learning algorithms are reviewed in detail, complete with an analysis of their performance on various tasks, datasets, and experimental setups. By highlighting the interconnections between these methods, many seemingly diverse problems are elegantly brought together in a unified way.\u003c\/p\u003e  \u003cp\u003eServing as an invaluable guide to the computational tools and algorithms required to tackle the exciting challenges in the field, this book is a must-read for graduate students seeking a greater understanding of unsupervised learning, as well as researchers in computer vision, machine learning, robotics, and related disciplines. \u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1. Unsupervised Visual Learning: from Pixels to Seeing.- 2. Unsupervised Learning of Graph and Hypergraph Matching.- 3. Unsupervised Learning of Graph and Hypergraph Clustering.- 4. Feature Selection meets Unsupervised Learning.- 5. Unsupervised Learning of Object Segmentation in Video with Highly Probable Positive Features.- 6. Coupling Appearance and Motion: Unsupervised Clustering for Object Segmentation through Space and Time.- 7. Unsupervised Learning in Space and Time over Several Generations of Teacher and Student Networks.- 8. Unsupervised Learning Towards the Future.\u003cbr\u003e\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743035634007,"sku":"9783030421274","price":113.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030421274.jpg?v=1720063826"},{"product_id":"handbook-of-digital-face-manipulation-and-detection-from-deepfakes-to-morphing-attacks-9783030876661","title":"Handbook of Digital Face Manipulation and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cb\u003ePart I - Introduction:\u003c\/b\u003e 1. Digital Face Manipulation: An Introduction.- 2. Face Manipulation in Biometric Systems.- 3. Face Manipulation in Media Forensics.- \u003cb\u003ePart II - Face Manipulation Detection Methods: \u003c\/b\u003e4. DeepFakes Manipulation.- 5. DeepFakes Detection.- 6. Attacking Face Recognition Systems with DeepFakes.- 7. Vulnerability of Face Recognition Systems to Morphing Attacks.- 8. Face Morphing Attack Detection.- 9. Face Synthesis Detection.- 10. Expression Swap Detection.- 11. Audio- and Text-to-Video Detection.- 12. Detection of Facial Retouching.- 13. Face De-Identification Detection.- \u003cb\u003ePart III - Further Topics:\u003c\/b\u003e 14. All-in-One Face Manipulation Detection: Generalization Analysis.- 15. Reversion of Face Manipulation.- 16. 3D Face Manipulation Detection.- 17. Improving Face Recognition with Face Image Manipulation.- 18. Impact of Post-Processing on Face Manipulation Detection.- 19. Societal and Legal Aspects of Face Manipulation.- 20. Face Manipulation for Privacy Protection.- 21. Privacy-preserving Face Manipulation Detection.- 22. Face Manipulation in Operational Systems.- \u003cb\u003ePart IV - Open Issues, Trends, and Challenges: \u003c\/b\u003e23. All: Future trends in face Manipulation and Fake Detection.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743055917399,"sku":"9783030876661","price":33.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030876661.jpg?v=1720063916"},{"product_id":"advanced-data-mining-and-applications-17th-international-conference-adma-2021-sydney-nsw-australia-february-2-4-2022-proceedings-part-i-9783030954048","title":"Advanced Data Mining and Applications: 17th","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book constitutes the proceedings of the 17th International Conference on Advanced Data Mining and Applications, ADMA 2021, held in Sydney, Australia in February 2022.*\u003c\/p\u003e\u003cp\u003eThe 26 full papers presented together with 35 short papers were carefully reviewed and selected from 116 submissions. The papers were organized in topical sections in Part I, including: Healthcare, Education, Web Application and On-device application.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e* The conference was originally planned for December 2021, but was postponed to 2022. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743060930903,"sku":"9783030954048","price":66.49,"currency_code":"GBP","in_stock":true}]},{"product_id":"misinformation-and-disinformation-detecting-fakes-with-the-eye-and-ai-9783030956554","title":"Misinformation and Disinformation: Detecting","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-\/disinformation in digital media content, and suggests practical means to intervene and curtail this current global ‘infodemic’. This interdisciplinary book explores technological, psychological, philosophical, and linguistic insights into the nature of truth and deception, trust and credibility, cognitive biases and logical fallacies and how, through AI and human intervention, content users can be alerted to the presence of deception. The author investigates how AI can mimic the procedures and know-hows of humans, showing how AI can help spot fakes and how AI tools can work to debunk rumors and fact-check. The book describes how AI detection systems work and how they fit with broader societal and individual concerns. Each chapter focuses attention on key concepts and their inter-connection. The first part of the book seeks theoretical footing to understand our interactions with new information and reviews relevant empirical findings in behavioral sciences. The second part is about applied knowledge. The author looks at several known practices that guard us against deception, and provides several real-world examples of manipulative persuasive techniques in advertising, political propaganda, and public relations. She provides links to the downloadable executable files to three AI applications (clickbait, satire, and falsehood detectors) via LiT.RL GitHub, an open access repository. The book is useful to students and professionals studying AI and media studies as well as library and information professionals.\u003cul\u003e\n\u003cli\u003eExamines how artificial intelligence (AI) and psychology can aid in detecting mis-\/disinformation and the language of deceit in digital media content;\u003c\/li\u003e\n\u003cli\u003eSuggests practical computational means to intervene and curtail the global ‘infodemic’ of fake news;\u003c\/li\u003e\n\u003cli\u003ePresents how AI can sift, sort, and shuffle digital content, to reduce the amount of content needed to be reviewed by humans.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Infodemic in the Digital Media Content.- Part I. Human Nature of Deception and Perceptions of Truth.- Psychology of Mis-\/Disinformation and Language of Deceit.- Library and Information Science on Credibility and Trust in Computing.- Philosophies of Truth.- Part II. Applied Practices and Artificial Intelligence (AI).- Investigation in Law Enforcement, Journalism, and Sciences.- Manipulation in Marketing, Advertising, and Public Relations.- Artificially Intelligent Solutions: Detection, Debunking, Fact-Checking.- Lessons for Infodemic Control and Future of Digital Content Verification.- Conclusion.\u003cp\u003e\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743061094743,"sku":"9783030956554","price":52.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030956554.jpg?v=1720063940"},{"product_id":"misinformation-and-disinformation-detecting-fakes-with-the-eye-and-ai-9783030956585","title":"Misinformation and Disinformation: Detecting","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-\/disinformation in digital media content, and suggests practical means to intervene and curtail this current global ‘infodemic’. This interdisciplinary book explores technological, psychological, philosophical, and linguistic insights into the nature of truth and deception, trust and credibility, cognitive biases and logical fallacies and how, through AI and human intervention, content users can be alerted to the presence of deception. The author investigates how AI can mimic the procedures and know-hows of humans, showing how AI can help spot fakes and how AI tools can work to debunk rumors and fact-check. The book describes how AI detection systems work and how they fit with broader societal and individual concerns. Each chapter focuses attention on key concepts and their inter-connection. The first part of the book seeks theoretical footing to understand our interactions with new information and reviews relevant empirical findings in behavioral sciences. The second part is about applied knowledge. The author looks at several known practices that guard us against deception, and provides several real-world examples of manipulative persuasive techniques in advertising, political propaganda, and public relations. She provides links to the downloadable executable files to three AI applications (clickbait, satire, and falsehood detectors) via LiT.RL GitHub, an open access repository. The book is useful to students and professionals studying AI and media studies as well as library and information professionals.\u003cul\u003e\n\u003cli\u003eExamines how artificial intelligence (AI) and psychology can aid in detecting mis-\/disinformation and the language of deceit in digital media content;\u003c\/li\u003e\n\u003cli\u003eSuggests practical computational means to intervene and curtail the global ‘infodemic’ of fake news;\u003c\/li\u003e\n\u003cli\u003ePresents how AI can sift, sort, and shuffle digital content, to reduce the amount of content needed to be reviewed by humans.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Infodemic in the Digital Media Content.- Part I. Human Nature of Deception and Perceptions of Truth.- Psychology of Mis-\/Disinformation and Language of Deceit.- Library and Information Science on Credibility and Trust in Computing.- Philosophies of Truth.- Part II. Applied Practices and Artificial Intelligence (AI).- Investigation in Law Enforcement, Journalism, and Sciences.- Manipulation in Marketing, Advertising, and Public Relations.- Artificially Intelligent Solutions: Detection, Debunking, Fact-Checking.- Lessons for Infodemic Control and Future of Digital Content Verification.- Conclusion.\u003cp\u003e\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743061258583,"sku":"9783030956585","price":40.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030956585.jpg?v=1720063940"},{"product_id":"algorithms-and-discrete-applied-mathematics-9th-international-conference-caldam-2023-gandhinagar-india-february-9-11-2023-proceedings-9783031252105","title":"Algorithms and Discrete Applied Mathematics: 9th","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book constitutes the proceedings of the 9th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2023, which was held in Gandhinagar, India, during February 9-11, 2023.\u003cp\u003eThe 32 papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers were organized in topical sections named: algorithms and optimization; computational geometry; game theory; graph coloring; graph connectivity; graph domination; graph matching; graph partition and graph covering.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eStable Approximation Schemes.- A whirlwind tour of intersection graph enumeration.- Graph modification problems with forbidden minors.- Algorithms \u0026amp; Optimization Efficient reductions and algorithms for Subset Product.- Optimal length cutting plane refutations of integer programs.- Fault-Tolerant Dispersion Resource management in device-to-device communications.- Computational Geometry Algorithms for k-Dispersion for Points in Convex Position in the Plane.- Arbitrary oriented color spanning region for line segments.- Games with a Simple Rectilinear Obstacle in Plane.- Diverse Fair Allocations: Complexity and Algorithms.- Graph Coloring New bounds and constructions for neighbor-locating colorings of graphs.- D K 5-list coloring toroidal 6-regular triangulations in linear time.- On Locally Identifying Coloring of Graphs.- On Structural Parameterizations of Star Coloring.- Reddy Perfectness of G-generalized join of graphs.- Coloring of a superclass of 2K2-free graphs.- The Weak (2,2)-Labelling Problem for graphs with forbidden induced structures.- Graph Connectivity Short cycles dictate dichotomy status of the Steiner tree problem on Bisplit graphs.- Some insights on dynamic maintenance of Gomory-Hu tree in cactus graphs and general graphs.- Monitoring edge-geodetic sets in graphs.- Cyclability, Connectivity and Circumference.- Graph Domination On three domination-based identification problems in block graphs.- Graph modification problems with forbidden minors.- Computational Aspects of Double Dominating Sequences in Graph.- Relation between broadcast domination and multipacking numbers on chordal graphs.- Pushing Cops and Robber on Oriented Graphs.- Mind the Gap: Edge Facility Location Problems in Theory and Practice.- Complexity Results on Cosecure Domination in Graphs.- Kusum and Arti Pandey Graph Matching Latin Hexahedra and Related Combinatorial Structures.- Minimum Maximal Acyclic Matching in Proper Interval Graphs.- Graph Partition \u0026amp; Graph Covering Transitivity on subclasses of chordal graphs.- Maximum subgraph problem for 3-regular Knödel graphs and its wirelength.- Covering using Bounded Size Subgraphs.- Axiomatic characterization of the the toll walk function of some graph classes.- Structural Parameterization of Alliance Problems.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743077249367,"sku":"9783031252105","price":61.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031252105.jpg?v=1720064009"},{"product_id":"pixels-paintings-9780470229446","title":"Pixels  Paintings","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book is a collection representing some of the most powerful and useful computer techniques in the service of art.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eList of Figures xxi\u003c\/p\u003e \u003cp\u003eList of Tables xlv\u003c\/p\u003e \u003cp\u003eList of Algorithms xlvii\u003c\/p\u003e \u003cp\u003ePreface xlix\u003c\/p\u003e \u003cp\u003eLorenzo Lotto lviii\u003c\/p\u003e \u003cp\u003eGiovanni Morelli and the birth of \"scientific\" connoisseurship lix\u003c\/p\u003e \u003cp\u003eOverview lxi\u003c\/p\u003e \u003cp\u003eIntended audience lxii\u003c\/p\u003e \u003cp\u003ePrerequisites lxiii\u003c\/p\u003e \u003cp\u003eAcknowledgements lxiv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Digital imaging 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 Electromagnetic radiation and light 4\u003c\/p\u003e \u003cp\u003e1.3 Interaction of electromagnetic radiation with art materials 7\u003c\/p\u003e \u003cp\u003e1.4 Cameras and scanners 9\u003c\/p\u003e \u003cp\u003e1.4.1 Cameras 10\u003c\/p\u003e \u003cp\u003e1.4.2 Flatbed scanners 11\u003c\/p\u003e \u003cp\u003e1.5 Parameters for image acquisition in the visible 12\u003c\/p\u003e \u003cp\u003eBilly Pappas 13\u003c\/p\u003e \u003cp\u003e1.5.1 Spatial resolution 15\u003c\/p\u003e \u003cp\u003e1.5.2 Bit depth 16\u003c\/p\u003e \u003cp\u003e1.5.3 Dynamic range and contrast 17\u003c\/p\u003e \u003cp\u003e1.6 Reading digital images of art on–screen 18\u003c\/p\u003e \u003cp\u003e1.6.1 Reading a digital image of Leonardo's La Bella Principessa 22\u003c\/p\u003e \u003cp\u003eLeonardo da Vinci 22\u003c\/p\u003e \u003cp\u003e1.7 Infrared photography and reflectography 25\u003c\/p\u003e \u003cp\u003e1.8 Ultraviolet imaging 26\u003c\/p\u003e \u003cp\u003e1.9 Multispectral and hyperspectral imaging 27\u003c\/p\u003e \u003cp\u003e1.9.1 Hyperspectral imaging of the Archimedes Palimpsest 30\u003c\/p\u003e \u003cp\u003e1.10 X-radiographic imaging 32\u003c\/p\u003e \u003cp\u003e1.11 Fluorescence imaging 35\u003c\/p\u003e \u003cp\u003e1.12 Capture of three–dimensional surfaces of art 37\u003c\/p\u003e \u003cp\u003e1.12.1 Raking illumination 38\u003c\/p\u003e \u003cp\u003e1.12.2 Reflectance transformation imaging (RTI) 40\u003c\/p\u003e \u003cp\u003e1.12.3 Stereographic imaging 42\u003c\/p\u003e \u003cp\u003e1.13 Optical coherence tomography (OCT) 43\u003c\/p\u003e \u003cp\u003e1.14 Raman spectroscopic imaging and X-ray fluorescence imaging 45\u003c\/p\u003e \u003cp\u003e1.14.1 Raman spectroscopic imaging (RSI) 45\u003c\/p\u003e \u003cp\u003e1.14.2 X-ray fluorescence imaging (XRF) 46\u003c\/p\u003e \u003cp\u003e1.15 Summary 47\u003c\/p\u003e \u003cp\u003e1.16 Bibliographical remarks 49\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Image processing 53\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 53\u003c\/p\u003e \u003cp\u003e2.2 Pixel–based image processing 57\u003c\/p\u003e \u003cp\u003e2.3 Region–based image processing 61\u003c\/p\u003e \u003cp\u003e2.3.1 Linear image processing 62\u003c\/p\u003e \u003cp\u003e2.3.2 Nonlinear region–based image processing 63\u003c\/p\u003e \u003cp\u003e2.3.3 Color quantization 64\u003c\/p\u003e \u003cp\u003e2.3.4 Edge and line detection 69\u003c\/p\u003e \u003cp\u003e2.3.5 Dilation and erosion 71\u003c\/p\u003e \u003cp\u003e2.3.6 Skeletonization 72\u003c\/p\u003e \u003cp\u003e2.4 Inpainting 72\u003c\/p\u003e \u003cp\u003e2.5 Feature extraction 74\u003c\/p\u003e \u003cp\u003e2.5.1 Keypoint extraction 75\u003c\/p\u003e \u003cp\u003e2.5.2 Craquelure and crazing analysis 78\u003c\/p\u003e \u003cp\u003e2.5.3 Computational tests for counterproofing by Jan van der Heyden 81\u003c\/p\u003e \u003cp\u003eJan van der Heyden 83\u003c\/p\u003e \u003cp\u003e2.6 Segmentation 86\u003c\/p\u003e \u003cp\u003e2.6.1 Deep nets for image segmentation 88\u003c\/p\u003e \u003cp\u003e2.7 Geometric transformations 95\u003c\/p\u003e \u003cp\u003e2.8 Chamfer transform and Chamfer distance 101\u003c\/p\u003e \u003cp\u003e2.8.1 Tests for copying of Jan van Eyck's portraits of Niccolò Albergati 103\u003c\/p\u003e \u003cp\u003e2.9 Discrete Fourier and wavelet transforms 111\u003c\/p\u003e \u003cp\u003e2.9.1 Discrete Fourier transform (DFT) 111\u003c\/p\u003e \u003cp\u003e2.9.2 Canvas support weave analysis 114\u003c\/p\u003e \u003cp\u003e2.9.3 Discrete wavelet transform (DWT) 116\u003c\/p\u003e \u003cp\u003e2.10 Compositing and integrating art images 118\u003c\/p\u003e \u003cp\u003e2.10.1 Image compositing 118\u003c\/p\u003e \u003cp\u003e2.10.2 Superresolution 119\u003c\/p\u003e \u003cp\u003e2.11 Image separation 123\u003c\/p\u003e \u003cp\u003e2.12 Summary 123\u003c\/p\u003e \u003cp\u003e2.13 Bibliographical remarks 125\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Color analysis 129\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 129\u003c\/p\u003e \u003cp\u003e3.2 Visible–light spectra and color appearance 132\u003c\/p\u003e \u003cp\u003e3.3 Overview of human color vision 133\u003c\/p\u003e \u003cp\u003e3.3.1 Properties of color descriptions 134\u003c\/p\u003e \u003cp\u003e3.3.2 Opponent color processing and unique hues 137\u003c\/p\u003e \u003cp\u003e3.3.3 Humanist descriptions of color 138\u003c\/p\u003e \u003cp\u003e3.3.4 Spatial aspects of color perception 139\u003c\/p\u003e \u003cp\u003eJosef Albers 140\u003c\/p\u003e \u003cp\u003e3.3.5 Color and lightness constancy and brightness perception 141\u003c\/p\u003e \u003cp\u003e3.3.6 Quantitative descriptions and additive color mixing 141\u003c\/p\u003e \u003cp\u003e3.3.7 Representing artists' palettes 145\u003c\/p\u003e \u003cp\u003e3.4 Physics of color in art materials 147\u003c\/p\u003e \u003cp\u003e3.4.1 Pigments and color appearance 147\u003c\/p\u003e \u003cp\u003e3.5 Representing color arising from mixing paints 151\u003c\/p\u003e \u003cp\u003e3.5.1 Identifying pigments in artworks based on spectra 152\u003c\/p\u003e \u003cp\u003e3.6 Digital rejuvenation of pigment colors 154\u003c\/p\u003e \u003cp\u003e3.6.1 Digital rejuvenation of faded artworks 157\u003c\/p\u003e \u003cp\u003eGeorges Seurat 158\u003c\/p\u003e \u003cp\u003e3.7 Digital cleaning of paintings 160\u003c\/p\u003e \u003cp\u003e3.8 Summary 164\u003c\/p\u003e \u003cp\u003e3.9 Bibliographical remarks 165\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Brush stroke and mark analysis 171\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 171\u003c\/p\u003e \u003cp\u003eCy Twombly 173\u003c\/p\u003e \u003cp\u003e4.2 Analysis of printed lines and marks 175\u003c\/p\u003e \u003cp\u003eKatsushika Hokusai 178\u003c\/p\u003e \u003cp\u003e4.3 Inferring tools from marks 182\u003c\/p\u003e \u003cp\u003eSheila Waters 184\u003c\/p\u003e \u003cp\u003e4.3.1 Analysis of brush strokes 185\u003c\/p\u003e \u003cp\u003e4.3.2 Segmenting and isolating brush strokes computationally 187\u003c\/p\u003e \u003cp\u003e4.3.3 Extracting opaque marks in multiple layers 189\u003c\/p\u003e \u003cp\u003eVincent Willem van Gogh 193\u003c\/p\u003e \u003cp\u003e4.3.4 Visual evidence of authorship of Pollock's drip paintings 194\u003c\/p\u003e \u003cp\u003eJackson Pollock 195\u003c\/p\u003e \u003cp\u003e4.3.5 Extracting layers of translucent brush strokes 195\u003c\/p\u003e \u003cp\u003e4.4 Characterizing the shapes of strokes and marks 203\u003c\/p\u003e \u003cp\u003e4.5 Global methods for inferring sequences of marks in paintings 206\u003c\/p\u003e \u003cp\u003e4.6 Summary 208\u003c\/p\u003e \u003cp\u003e4.7 Bibliographical remarks 208\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Perspective and geometric analysis 211\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 211\u003c\/p\u003e \u003cp\u003e5.2 Projective geometry 214\u003c\/p\u003e \u003cp\u003e5.2.1 The mathematics of projection 216\u003c\/p\u003e \u003cp\u003e5.2.2 One–point, two–point, and three–point perspectives 222\u003c\/p\u003e \u003cp\u003e5.2.3 Parallel or orthographic perspective in Asian art 223\u003c\/p\u003e \u003cp\u003e5.3 Estimating the center of projection 224\u003c\/p\u003e \u003cp\u003e5.3.1 Foreshortening and size comparisons of depicted objects 230\u003c\/p\u003e \u003cp\u003ePiero della Francesca 231\u003c\/p\u003e \u003cp\u003e5.3.2 Cross–ratio analysis 232\u003c\/p\u003e \u003cp\u003e5.3.3 Estimating the center of projection from object sizes 234\u003c\/p\u003e \u003cp\u003e5.4 Estimating geometric accuracy in artworks 235\u003c\/p\u003e \u003cp\u003e5.4.1 Hans Memling's Flower Still-Life 235\u003c\/p\u003e \u003cp\u003eHans Memling 237\u003c\/p\u003e \u003cp\u003e5.4.2 The carpet in Lorenzo Lotto's Husband and Wife 238\u003c\/p\u003e \u003cp\u003e5.4.3 The chandelier in the Arnolfini Portrait 238\u003c\/p\u003e \u003cp\u003eJan van Eyck 243\u003c\/p\u003e \u003cp\u003e5.4.4 Warping Andrea Mantegna's Lamentation of Christ to make consistent perspective 251\u003c\/p\u003e \u003cp\u003e5.4.5 Dewarping the murals in Sennedjem's Tomb 252\u003c\/p\u003e \u003cp\u003e5.4.6 Warping de Chirico's Ariadne to make consistent perspective 255\u003c\/p\u003e \u003cp\u003eGiorgio de Chirico 256\u003c\/p\u003e \u003cp\u003e5.4.7 Robert Campin and workshop's Mérode Altarpiece 257\u003c\/p\u003e \u003cp\u003eRobert Campin 258\u003c\/p\u003e \u003cp\u003e5.5 Slant anamorphic art 260\u003c\/p\u003e \u003cp\u003eEd Ruscha (Edward Joseph Ruscha IV) 260\u003c\/p\u003e \u003cp\u003e5.5.1 Hans Holbein's The Ambassadors 263\u003c\/p\u003e \u003cp\u003eHans Holbein 263\u003c\/p\u003e \u003cp\u003e5.6 Inferring depth from projected images 264\u003c\/p\u003e \u003cp\u003e5.6.1 Computing a three–dimensional model from one perspective image 265\u003c\/p\u003e \u003cp\u003eMasaccio 266\u003c\/p\u003e \u003cp\u003e5.6.2 Computing a three–dimensional model from two perspective images 267\u003c\/p\u003e \u003cp\u003e5.7 Summary 271\u003c\/p\u003e \u003cp\u003e5.8 Bibliographical remarks 272\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Optical analysis 275\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 275\u003c\/p\u003e \u003cp\u003e6.2 Reflection and refraction 277\u003c\/p\u003e \u003cp\u003e6.3 Plane mirrors 278\u003c\/p\u003e \u003cp\u003e6.3.1 Virtual image formation by plane mirrors 279\u003c\/p\u003e \u003cp\u003e6.3.2 Depictions of plane mirrors in art 281\u003c\/p\u003e \u003cp\u003e6.3.3 Diego Velázquez’s Las Meninas 283\u003c\/p\u003e \u003cp\u003eDiego Velázquez 284\u003c\/p\u003e \u003cp\u003e6.4 Convex spherical mirrors 288\u003c\/p\u003e \u003cp\u003e6.4.1 Virtual image formation by convex spherical mirrors 290\u003c\/p\u003e \u003cp\u003e6.4.2 Jan van Eyck’s Portrait of Giovanni Arnolfini and his Wife 292\u003c\/p\u003e \u003cp\u003e6.4.3 Claude glass 297\u003c\/p\u003e \u003cp\u003e6.4.4 Parmigianino’s Self–Portrait in a Convex Mirror 298\u003c\/p\u003e \u003cp\u003eParmigianino (Girolamo Francesco Maria Mazzola) 298\u003c\/p\u003e \u003cp\u003e6.4.5 Hans Memling's Virgin and Child and Maarten van Nieuwenhove 304\u003c\/p\u003e \u003cp\u003e6.4.6 Dewarping images in generalized cylindrical mirrors 308\u003c\/p\u003e \u003cp\u003e6.5 Conical and cylindrical mirrors and anamorphic art 312\u003c\/p\u003e \u003cp\u003e6.5.1 Conical mirror anamorphic art 313\u003c\/p\u003e \u003cp\u003e6.5.2 Cylindrical mirror anamorphic art 317\u003c\/p\u003e \u003cp\u003e6.6 Concave spherical mirrors 318\u003c\/p\u003e \u003cp\u003e6.6.1 Virtual image formation by concave mirrors 320\u003c\/p\u003e \u003cp\u003e6.6.2 Real image formation by concave mirrors 322\u003c\/p\u003e \u003cp\u003e6.7 Converging lenses 323\u003c\/p\u003e \u003cp\u003e6.7.1 Virtual image formation by converging lenses 325\u003c\/p\u003e \u003cp\u003e6.7.2 Real image formation by convex lenses 327\u003c\/p\u003e \u003cp\u003e6.8 Camera lucida and camera obscura 328\u003c\/p\u003e \u003cp\u003e6.8.1 Camera lucida 328\u003c\/p\u003e \u003cp\u003e6.8.2 Camera obscura 331\u003c\/p\u003e \u003cp\u003e6.8.3 Depth of field, depth of focus, and blur spots 333\u003c\/p\u003e \u003cp\u003e6.9 Optical projections and the creation of art 336\u003c\/p\u003e \u003cp\u003e6.9.1 Jan van Eyck's Portrait of Giovanni Arnolfini and his wife 337\u003c\/p\u003e \u003cp\u003e6.9.2 Caravaggio's Supper at Emmaus 342\u003c\/p\u003e \u003cp\u003e6.9.3 Lorenzo Lotto's Husband and Wife 345\u003c\/p\u003e \u003cp\u003e6.9.4 Johannes Vermeer's Lady at the Virginals with a Gentleman 349\u003c\/p\u003e \u003cp\u003eJohannes Vermeer 349\u003c\/p\u003e \u003cp\u003e6.9.5 Canaletto's Piazza San Marco 363\u003c\/p\u003e \u003cp\u003eCanaletto (Giovanni Antonio Canal) 364\u003c\/p\u003e \u003cp\u003e6.9.6 Photorealists 364\u003c\/p\u003e \u003cp\u003ePhilip Barlow 366\u003c\/p\u003e \u003cp\u003e6.10 Refraction and nonimaging optics in art 366\u003c\/p\u003e \u003cp\u003e6.10.1 Leonardo's Salvator Mundi 366\u003c\/p\u003e \u003cp\u003e6.11 Summary 371\u003c\/p\u003e \u003cp\u003e6.12 Bibliographical remarks 372\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Lighting analysis 377\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 377\u003c\/p\u003e \u003cp\u003e7.2 Basic shadows 381\u003c\/p\u003e \u003cp\u003e7.2.1 General classes of lighting analysis methods 383\u003c\/p\u003e \u003cp\u003e7.3 Cast–shadow analysis 383\u003c\/p\u003e \u003cp\u003e7.3.1 Illumination from two or more point-sources 388\u003c\/p\u003e \u003cp\u003e7.3.2 Cast–shadow analysis under geometric constraints 388\u003c\/p\u003e \u003cp\u003e7.4 Lighting information from highlights 389\u003c\/p\u003e \u003cp\u003e7.4.1 Illumination direction from highlights on simple estimated shapes 393\u003c\/p\u003e \u003cp\u003e7.5 The optics of diffuse reflections 394\u003c\/p\u003e \u003cp\u003e7.6 Inferring illumination from plane surfaces 396\u003c\/p\u003e \u003cp\u003eGeorges de la Tour 398\u003c\/p\u003e \u003cp\u003e7.7 Interreflection 400\u003c\/p\u003e \u003cp\u003e7.8 Occluding–contour algorithms 401\u003c\/p\u003e \u003cp\u003e7.8.1 Single–point occluding–contour algorithm 403\u003c\/p\u003e \u003cp\u003e7.8.2 General occluding–contour algorithm 405\u003c\/p\u003e \u003cp\u003eCaravaggio (Michelangelo Merisi da Caravaggio) 407\u003c\/p\u003e \u003cp\u003e7.8.3 Lightfield occluding–contour algorithm 408\u003c\/p\u003e \u003cp\u003eGarth Herrick 409\u003c\/p\u003e \u003cp\u003e7.8.4 Theory of the lightfield occluding–contour algorithm 410\u003c\/p\u003e \u003cp\u003e7.8.5 Application of the lightfield occluding–contour algorithm 415\u003c\/p\u003e \u003cp\u003e7.9 Computer graphics for the analysis of lighting 418\u003c\/p\u003e \u003cp\u003e7.9.1 Georges de la Tour's Christ in the Carpenter's Studio (model) 419\u003c\/p\u003e \u003cp\u003e7.9.2 Johannes Vermeer's Girl with a Pearl Earring 421\u003c\/p\u003e \u003cp\u003e7.9.3 René Magritte's The Menaced Assassin 422\u003c\/p\u003e \u003cp\u003e7.9.4 Bidirectional reflectance distribution functions (BRDFs) 424\u003c\/p\u003e \u003cp\u003e7.9.5 Caravaggio's The Calling of St. Matthew 425\u003c\/p\u003e \u003cp\u003e7.10 Shape–from–shading algorithms 426\u003c\/p\u003e \u003cp\u003e7.10.1 Shape–from–shading by deep neural networks 429\u003c\/p\u003e \u003cp\u003e7.10.2 Shape–from–shading for estimating both illumination and depth 430\u003c\/p\u003e \u003cp\u003e7.11 Integrating lighting estimates 433\u003c\/p\u003e \u003cp\u003e7.11.1 Integrating one–dimensional lighting estimates 433\u003c\/p\u003e \u003cp\u003e7.11.2 Integrating two–dimensional lighting estimates 436\u003c\/p\u003e \u003cp\u003e7.12 Lighting analysis for dating depicted scenes 439\u003c\/p\u003e \u003cp\u003e7.13 Summary 442\u003c\/p\u003e \u003cp\u003e7.14 Bibliographical remarks 444\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Object analysis 449\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 449\u003c\/p\u003e \u003cp\u003e8.2 Image–based object classification 452\u003c\/p\u003e \u003cp\u003e8.2.1 Feature–based object recognition 452\u003c\/p\u003e \u003cp\u003e8.3 Feature–based analysis of faces and bodies 454\u003c\/p\u003e \u003cp\u003e8.3.1 Feature–based analysis of body pose 464\u003c\/p\u003e \u003cp\u003e8.3.2 Feature–based analysis of head poses 466\u003c\/p\u003e \u003cp\u003e8.4 Deep neural network–based object recognition 468\u003c\/p\u003e \u003cp\u003eJacques-Louis David 472\u003c\/p\u003e \u003cp\u003e8.4.1 Transfer training 472\u003c\/p\u003e \u003cp\u003e8.5 Summary 474\u003c\/p\u003e \u003cp\u003e8.6 Bibliographical remarks 475\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Style and composition analysis 477\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 477\u003c\/p\u003e \u003cp\u003e9.2 Automatic classification of style 480\u003c\/p\u003e \u003cp\u003e9.3 Compositional balance 482\u003c\/p\u003e \u003cp\u003e9.3.1 Computational balance of actors 485\u003c\/p\u003e \u003cp\u003e9.4 Geometric properties of composition 486\u003c\/p\u003e \u003cp\u003e9.4.1 Design in Piet Mondrian's Neoplastic paintings 487\u003c\/p\u003e \u003cp\u003ePiet Mondrian 487\u003c\/p\u003e \u003cp\u003e9.5 Analysis of trends and similarities in artistic style 497\u003c\/p\u003e \u003cp\u003e9.5.1 Trends in landscape compositions 498\u003c\/p\u003e \u003cp\u003e9.5.2 Large–scale trends in the development of style 502\u003c\/p\u003e \u003cp\u003e9.5.3 Graph representations of stylistic similarities 503\u003c\/p\u003e \u003cp\u003e9.6 Style transfer 505\u003c\/p\u003e \u003cp\u003e9.6.1 Style transfer by deep networks 505\u003c\/p\u003e \u003cp\u003e9.6.2 Rejuvenating tapestries 506\u003c\/p\u003e \u003cp\u003e9.6.3 Coloration of black–and–white photographs of artworks 507\u003c\/p\u003e \u003cp\u003e9.6.4 Style transfer for visualizing underdrawings 509\u003c\/p\u003e \u003cp\u003e9.7 Recovering Rembrandt's complete The Night Watch 513\u003c\/p\u003e \u003cp\u003eRembrandt 514\u003c\/p\u003e \u003cp\u003e9.8 Computational generation of images for art analysis 516\u003c\/p\u003e \u003cp\u003e9.8.1 Computational recovery of lost artworks 518\u003c\/p\u003e \u003cp\u003e9.9 Summary 521\u003c\/p\u003e \u003cp\u003e9.10 Bibliographical remarks 522\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Semantic analysis 525\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 525\u003c\/p\u003e \u003cp\u003eJacques-Louis David 528\u003c\/p\u003e \u003cp\u003e10.2 Semantics and visual art 534\u003c\/p\u003e \u003cp\u003e10.2.1 Natural language processing and knowledge representation 536\u003c\/p\u003e \u003cp\u003e10.3 Meaning through associations 538\u003c\/p\u003e \u003cp\u003e10.3.1 Signifiers and signifieds 538\u003c\/p\u003e \u003cp\u003e10.4 Semantics of color 544\u003c\/p\u003e \u003cp\u003e10.5 Identifying saints by their attributes 546\u003c\/p\u003e \u003cp\u003eAndrea del Verrocchio 549\u003c\/p\u003e \u003cp\u003e10.6 Learning associations between signifiers and signifieds 550\u003c\/p\u003e \u003cp\u003eHarmen Steenwijck 551\u003c\/p\u003e \u003cp\u003e10.7 Meaning through artistic style 554\u003c\/p\u003e \u003cp\u003e10.7.1 Context in the creation of meaning 556\u003c\/p\u003e \u003cp\u003e10.8 Automatic image captioning and question answering 557\u003c\/p\u003e \u003cp\u003e10.8.1 Image captioning 557\u003c\/p\u003e \u003cp\u003e10.8.2 Automatic answering of questions about artworks 559\u003c\/p\u003e \u003cp\u003e10.9 Meaning through shape relations and associations 563\u003c\/p\u003e \u003cp\u003eRogier van der Weyden 563\u003c\/p\u003e \u003cp\u003e10.9.1 Recognizing meaning–bearing stories 565\u003c\/p\u003e \u003cp\u003eAlbrecht Dürer 567\u003c\/p\u003e \u003cp\u003e10.10 Summary 568\u003c\/p\u003e \u003cp\u003e10.11 Bibliographical remarks 569\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix 573\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eA Symbols, acronyms, and mathematical notation 573\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA.1 Mathematical notation, definitions, and operations 573\u003c\/p\u003e \u003cp\u003eA.2 Solving simultaneous linear equations 578\u003c\/p\u003e \u003cp\u003eA.3 Lagrange optimization 579\u003c\/p\u003e \u003cp\u003eA.4 Basis functions 580\u003c\/p\u003e \u003cp\u003eA.5 Discrete Fourier analysis and synthesis 580\u003c\/p\u003e \u003cp\u003eA.6 Discrete wavelet transform 582\u003c\/p\u003e \u003cp\u003eA.7 Spherical harmonics 582\u003c\/p\u003e \u003cp\u003e\u003cb\u003eB Probability 584\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eB.1 Accuracy, precision, and recall 585\u003c\/p\u003e \u003cp\u003eB.2 Conditional probability 585\u003c\/p\u003e \u003cp\u003eB.3 The definition of information 586\u003c\/p\u003e \u003cp\u003eB.4 Hidden Markov models (HMMs) 586\u003c\/p\u003e \u003cp\u003e\u003cb\u003eC Bayes' theorem and reasoning about uncertainty 588\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eC.1 Statistical independence 588\u003c\/p\u003e \u003cp\u003eC.2 Maximum likelihood estimation 589\u003c\/p\u003e \u003cp\u003eC.3 Bias and variance 591\u003c\/p\u003e \u003cp\u003eC.4 Intersection over Union metric 592\u003c\/p\u003e \u003cp\u003e\u003cb\u003eD Deep neural networks 593\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eE Ray tracing and image formation in mirrors and lenses 596\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eE.1 Converging lenses 596\u003c\/p\u003e \u003cp\u003eE.2 Diverging lenses 599\u003c\/p\u003e \u003cp\u003eE.3 Mirrors 600\u003c\/p\u003e \u003cp\u003eE.4 The focal length and radius of curvature of a spherical mirror 602\u003c\/p\u003e \u003cp\u003eE.5 Spherical versus parabolic mirrors 603\u003c\/p\u003e \u003cp\u003e\u003cb\u003eF Resources 604\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEpilog 607\u003c\/p\u003e \u003cp\u003eGlossary 609\u003c\/p\u003e \u003cp\u003eBibliography 615\u003c\/p\u003e \u003cp\u003eFigure credits 673\u003c\/p\u003e \u003cp\u003eTimeline of artists 682\u003c\/p\u003e \u003cp\u003eIndex of artists 683\u003c\/p\u003e \u003cp\u003eIndex 687\u003c\/p\u003e \u003cp\u003eAbout the book 713\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":48864625328471,"sku":"9780470229446","price":119.7,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780470229446.jpg?v=1722272786"},{"product_id":"statistical-digital-signal-processing-and-modeling-9780471594314","title":"Statistical Digital Signal Processing and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book responds to the dramatic growth in digital signal processing (DSP) over the past decade. While its focal point is signal modeling, the book integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectral estimation, and adaptive filtering.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eBackground.\u003cbr\u003e \u003cbr\u003e Discrete-Time Random Processes.\u003cbr\u003e \u003cbr\u003e Signal Modeling.\u003cbr\u003e \u003cbr\u003e The Levinson Recursion.\u003cbr\u003e \u003cbr\u003e Lattice Filters.\u003cbr\u003e \u003cbr\u003e Wiener Filtering.\u003cbr\u003e \u003cbr\u003e Spectrum Estimation.\u003cbr\u003e \u003cbr\u003e Adaptive Filtering.\u003cbr\u003e \u003cbr\u003e Appendix.\u003cbr\u003e \u003cbr\u003e Table of Symbols.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":48864650395991,"sku":"9780471594314","price":222.26,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471594314.jpg?v=1722272896"},{"product_id":"introductory-digital-signal-processing-with-computer-applications-9780471976318","title":"Introductory Digital Signal Processing with","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eIntroductory Digital Signal Processing with Computer Applications Second Edition Paul A. Lynn formerly: Imperial College of Science, Technology and Medicine, London, UK and Wolfgang Fuerst United Nations, New York, USA An excellent introductory book (Review of the First Edition in the International Journal of Electrical Engineering Education) .\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface to the First Edition ix\u003c\/p\u003e \u003cp\u003ePreface to the Second Edition xiii\u003c\/p\u003e \u003cp\u003e1 Introduction 1\u003c\/p\u003e \u003cp\u003e2 Time-Domain Analysis 32\u003cbr\u003e \u003cbr\u003e 3 Frequency-Domain Analysis: The Discrete Fourier Series and the Fourier Transform 65\u003cbr\u003e \u003cbr\u003e 4 Frequency-Domain Analysis: the z-Transform 98\u003cbr\u003e \u003cbr\u003e 5 Design of Nonrecursive Digital Filters 132\u003cbr\u003e \u003cbr\u003e 6 Design of Recursive Digital Filters 167\u003cbr\u003e \u003cbr\u003e 7 The Discrete and Fast Fourier Transforms 211\u003cbr\u003e \u003cbr\u003e 8 FFT Processing 251\u003cbr\u003e \u003cbr\u003e 9 Random Digital Signals 284\u003cbr\u003e \u003cbr\u003e 10 Random DSP 316\u003cbr\u003e \u003cbr\u003e Appendix A1 Computer Programs 351\u003cbr\u003e\u003cbr\u003e Appendix A2 Continuous-time Fourier Analysis 433\u003cbr\u003e\u003cbr\u003e Answers to Selected Problems 467\u003cbr\u003e \u003cbr\u003e Bibliography 473\u003cbr\u003e \u003cbr\u003e Index 475\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":48864653836631,"sku":"9780471976318","price":53.06,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471976318.jpg?v=1722272913"},{"product_id":"digital-image-processing-global-edition-9781292223049","title":"Digital Image Processing Global Edition","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e1 Introduction\u003c\/strong\u003e \u003c\/li\u003e\n\u003cli\u003e1.1 What is Digital Image Processing? \u003c\/li\u003e\n\u003cli\u003e1.2 The Origins of Digital Image Processing \u003c\/li\u003e\n\u003cli\u003e1.3 Examples of Fields that Use Digital Image Processing \u003c\/li\u003e\n\u003cli\u003e1.4 Fundamental Steps in Digital Image Processing \u003c\/li\u003e\n\u003cli\u003e1.5 Components of an Image Processing System\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2 Digital Image Fundamentals\u003c\/strong\u003e \u003c\/li\u003e\n\u003cli\u003e2.1 Elements of Visual Perception \u003c\/li\u003e\n\u003cli\u003e2.2 Light and the Electromagnetic Spectrum \u003c\/li\u003e\n\u003cli\u003e2.3 Image Sensing and Acquisition \u003c\/li\u003e\n\u003cli\u003e2.4 Image Sampling and Quantization \u003c\/li\u003e\n\u003cli\u003e2.5 Some Basic Relationships Between Pixels \u003c\/li\u003e\n\u003cli\u003e2.6 Introduction to the Basic Mathematical Tools Used in Digital Image Processing \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3 Intensity Transformations and Spatial Filtering\u003c\/strong\u003e \u003c\/li\u003e\n\u003cli\u003e3.1 Background \u003c\/li\u003e\n\u003cli\u003e3.2 Some Basic Intensity Transformation Functions \u003c\/li\u003e\n\u003cli\u003e3.3 Histogram Processing \u003c\/li\u003e\n\u003cli\u003e3.4 Fundamentals of Spatial Filtering \u003c\/li\u003e\n\u003cli\u003e3.5 Smoothing (Lowpass) Spatial Filters \u003c\/li\u003e\n\u003cli\u003e3.6 Sharpening (Highpass) Spatial Filters \u003c\/li\u003e\n\u003cli\u003e3.7 Highpass, Bandreject, and Bandpass Filters from Lowpass Filters \u003c\/li\u003e\n\u003cli\u003e3.8 Combining Spatial Enhancement Methods \u003c\/li\u003e\n\u003cli\u003e3.9 Using Fuzzy Techniques for Intensity Transformations and Spatial Filtering \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4 Filtering in the Frequency Domain\u003c\/strong\u003e \u003c\/li\u003e\n\u003cli\u003e4.1 Background \u003c\/li\u003e\n\u003cli\u003e4.2 Preliminary Concepts \u003c\/li\u003e\n\u003cli\u003e4.3 Sampling and the Fourier Transform of Sampled Functions \u003c\/li\u003e\n\u003cli\u003e4.4 The Discrete Fourier Transform of One Variable \u003c\/li\u003e\n\u003cli\u003e4.5 Extensions to Functions of Two Variables \u003c\/li\u003e\n\u003cli\u003e4.6 Some Properties of the 2-D DFT and IDFT \u003c\/li\u003e\n\u003cli\u003e4.7 The Basics of Filtering in the Frequency Domain \u003c\/li\u003e\n\u003cli\u003e4.8 Image Smoothing Using Lowpass Frequency Domain Filters \u003c\/li\u003e\n\u003cli\u003e4.9 Image Sharpening Using Highpass Filters \u003c\/li\u003e\n\u003cli\u003e4.10 Selective Filtering \u003c\/li\u003e\n\u003cli\u003e4.11 The Fast Fourier Transform \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e5 Image Restoration and Reconstruction\u003c\/strong\u003e \u003c\/li\u003e\n\u003cli\u003e5.1 A Model of the Image Degradation\/Restoration Process \u003c\/li\u003e\n\u003cli\u003e5.2 Noise Models \u003c\/li\u003e\n\u003cli\u003e5.3 Restoration in the Presence of Noise Only—Spatial Filtering \u003c\/li\u003e\n\u003cli\u003e5.4 Periodic Noise Reduction Using Frequency Domain Filtering \u003c\/li\u003e\n\u003cli\u003e5.5 Linear, Position-Invariant Degradations \u003c\/li\u003e\n\u003cli\u003e5.6 Estimating the Degradation Function \u003c\/li\u003e\n\u003cli\u003e5.7 Inverse Filtering \u003c\/li\u003e\n\u003cli\u003e5.8 Minimum Mean Square Error (Wiener) Filtering\u003c\/li\u003e\n\u003cli\u003e5.9 Constrained Least Squares Filtering \u003c\/li\u003e\n\u003cli\u003e5.10 Geometric Mean Filter \u003c\/li\u003e\n\u003cli\u003e5.11 Image Reconstruction from Projections \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e6 Wavelet and Other Image Transforms\u003c\/strong\u003e \u003c\/li\u003e\n\u003cli\u003e6.1 Preliminaries \u003c\/li\u003e\n\u003cli\u003e6.2 Matrix-based Transforms \u003c\/li\u003e\n\u003cli\u003e6.3 Correlation \u003c\/li\u003e\n\u003cli\u003e6.4 Basis Functions in the Time-Frequency Plane \u003c\/li\u003e\n\u003cli\u003e6.5 Basis Images \u003c\/li\u003e\n\u003cli\u003e6.6 Fourier-Related Transforms \u003c\/li\u003e\n\u003cli\u003e6.7 Walsh-Hadamard Transforms\u003c\/li\u003e\n\u003cli\u003e6.8 Slant Transform \u003c\/li\u003e\n\u003cli\u003e6.9 Haar Transform \u003c\/li\u003e\n\u003cli\u003e6.10 Wavelet Transforms \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e7 Color Image Processing\u003c\/strong\u003e \u003c\/li\u003e\n\u003cli\u003e7.1 Color Fundamentals \u003c\/li\u003e\n\u003cli\u003e7.2 Color Models \u003c\/li\u003e\n\u003cli\u003e7.3 Pseudocolor Image Processing \u003c\/li\u003e\n\u003cli\u003e7.4 Basics of Full-Color Image Processing \u003c\/li\u003e\n\u003cli\u003e7.5 Color Transformations \u003c\/li\u003e\n\u003cli\u003e7.6 Color Image Smoothing and Sharpening \u003c\/li\u003e\n\u003cli\u003e7.7 Using Color in Image Segmentation \u003c\/li\u003e\n\u003cli\u003e7.8 Noise in Color Images\u003c\/li\u003e\n\u003cli\u003e7.9 Color Image Compression \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e8 Image Compression and Watermarking\u003c\/strong\u003e \u003c\/li\u003e\n\u003cli\u003e8.1 Fundamentals \u003c\/li\u003e\n\u003cli\u003e8.2 Huffman Coding \u003c\/li\u003e\n\u003cli\u003e8.3 Golomb Coding \u003c\/li\u003e\n\u003cli\u003e8.4 Arithmetic Coding \u003c\/li\u003e\n\u003cli\u003e8.5 LZW Coding\u003c\/li\u003e\n\u003cli\u003e8.6 Run-length Coding \u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Pearson Education Limited","offers":[{"title":"Default Title","offer_id":48866520367447,"sku":"9781292223049","price":74.09,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781292223049.jpg?v=1722279043"},{"product_id":"machine-learning-pocket-reference-9781492047544","title":"Machine Learning Pocket Reference","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eWith detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":48867307684183,"sku":"9781492047544","price":20.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781492047544.jpg?v=1722282712"},{"product_id":"inside-pixinsight-9783319976884","title":"Inside PixInsight","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePixInsight has taken the astro-imaging world by storm. As the first comprehensive postprocessing platform to be created by astro-imagers for astro-imagers, it has for many replaced other generic graphics editors as the software of choice. PixInsight has been embraced by professionals such as the James Webb (and Hubble) Space Telescope's science imager Joseph DePasquale and Calar Alto's Vicent Peris, as well as thousands of amateurs around the world.\u003c\/p\u003e  While PixInsight is extremely powerful, very little has been printed on the subject. The first edition of this book broke that mold, offering a comprehensive look into the software’s capabilities. This second edition expands on the several new processes added to the PixInsight platform since that time, detailing and demonstrating each one with a now-expanded workflow. Addressing topics such as PhotometricColorCalibration, Large-Scale Pixel Rejection, LocalNormalization and a host of other functions, this text remains the authoritative guide to PixInsight.\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface.- Acknowledgements.- About the Author.- Part 1: Preprocessing.- Chapter 1: Image Evaluation.- Chapter 2: Calibration and Integration.- Chapter 3: Cosmetic Correction.- Chapter 4: One-Shot Color.- Chapter 5: Star Alignment.- Chapter 6: Image Integration.- Chapter 7: Batch Preprocessing.- Part 2: Linear Post-Processing.- Chapter 8: File Preparation.- Chapter 9: Background Modelization.- Chapter 10: Introduction to Masks.- Chapter 11: Deconvolution.- Chapter 12: Linear Color Processing and Noise Reduction.- Part 3: Nonlinear Post-Processing.- Chapter 13: Delinearization and LRGB Combination.- Chapter 14: A Look Back.- Chapter 15: Nonlinear Noise Reduction.- Chapter 16: High Dynamic Range Compression.- Chapter 17: Contrast and Sharpness.- Chapter 18: Color Saturation.- Chapter 19: Fine Finishers.- Chapter 20: Archiving and Exporting.- Chapter 21: Learning by Example: One-Shot Color and Monochromatic Workflow.- Part 4: Special Processing.- Chapter 22: Multiscale, Drizzle, High Dynamic Range, and Comet Techniques.- Chapter 23: Narrowband Processing.- Chapter 24: Mosaic Processing.- Chapter 25: More Insight.- Afterword.- Index.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48869381177687,"sku":"9783319976884","price":29.34,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783319976884.jpg?v=1722292472"},{"product_id":"image-fusion-principles-technology-applications-9781634821155","title":"Image Fusion: Principles, Technology \u0026","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Nova Science Publishers Inc","offers":[{"title":"Default Title","offer_id":48887183081815,"sku":"9781634821155","price":127.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781634821155.jpg?v=1722543398"},{"product_id":"computer-vision-applications-of-visual-ai-and-image-processing-9783110756678","title":"Computer Vision: Applications of Visual AI and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book focuses on the latest developments in the fields of visual AI, image processing and computer vision. It shows research in basic techniques like image pre-processing, feature extraction, and enhancement, along with applications in biometrics, healthcare, neuroscience and forensics. The book highlights algorithms, processes, novel architectures and results underlying machine intelligence with detailed execution flow of models. \u003c\/p\u003e","brand":"De Gruyter","offers":[{"title":"Default Title","offer_id":48889049907543,"sku":"9783110756678","price":100.88,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783110756678.jpg?v=1722552445"},{"product_id":"visualization-analysis-and-design-9781466508910","title":"Visualization Analysis and Design","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\"Visualization is a young field with only a few primary texts available. What distinguishes this one is the way it synthesizes past work to develop a comprehensive framework for design and analysis. … The author builds a framework for understanding the key elements of visualization and develops a synthesis of current best practices. … The book is filled with examples from the universe of visualization. Virtually all the possibilities for visualization design are illustrated with specific examples. … This is an attractive book, one that’s likely to be a fundamental source for the field. It’s worth a look for anyone with even a passing interest.\"\u003cbr\u003e—\u003cem\u003eMAA Reviews\u003c\/em\u003e, March 2015\u003c\/p\u003e\u003cp\u003e\"Munzner’s \u003cb\u003eVisualization Analysis and Design\u003c\/b\u003e is the first comprehensive textbook covering the topic of information visualization. She covers basic theory, careful analysis of the design space, design methodology, and numerous practical examples. Her taxonomic approach is ideally suited for use in the classroom to guide students through the many design decisions associated with creating effective visualizations.\"\u003cbr\u003e—Chris North, Virginia Tech\u003c\/p\u003e\u003cp\u003e\"\u003cb\u003eVisualization Analysis and Design\u003c\/b\u003e does a fantastic job in providing a framework and language for analyzing, critiquing, and discussing visualizations. This book provides a wonderful foundation for the field.\"\u003cbr\u003e—Miriah Meyer, University of Utah\u003c\/p\u003e\u003cp\u003e\"\u003cb\u003eVisualization Analysis and Design\u003c\/b\u003e is a book that fills the gaps in the existing literature. It offers a synthesized view and a framework most useful to guide the newcomer to visualization. The nested model that unifies design and evaluation is particularly enlightening. The book is truly valuable for an initial InfoVis course at the graduate level.\"\u003cbr\u003e—Beatriz Sousa Santos, Universidade de Aveiro\u003c\/p\u003e\u003cp\u003e\"Munzner elegantly synthesizes an astounding amount of cutting-edge work on visualization into a clear, engaging, and comprehensive textbook that will prove indispensable to students, designers, and researchers.\"\u003cbr\u003e—Steven Franconeri, Northwestern University\u003c\/p\u003e\u003cp\u003e\"A very detailed and thorough discussion of many topics central to information visualization. A must-read for researchers, sophisticated practitioners, and graduate students.\"\u003cbr\u003e—Jim Foley, Georgia Institute of Technology\u003c\/p\u003e\u003cp\u003e\"Munzner's new book is thorough and beautiful. It belongs on the shelf of anyone whose work and life are touched and enriched by visualization.\"\u003cbr\u003e—Chris Johnson, University of Utah\u003c\/p\u003e\u003cp\u003e\"Visualization is often presented in the classroom as a motley collection of techniques and algorithms designed to unearth insights from data. Tamara Munzner is one of the leading voices of the school that seeks to establish visualization as a discipline resting on well-understood pillars of perception, cognition, and interaction. This new volume from Tamara reflects her expansive views and presents visualization as a wholesome and essential topic for this age of Big Data and all things analytic.\"\u003cbr\u003e—Raghu Machiraju, The Ohio State University\u003c\/p\u003e\u003cp\u003e\"Tamara Munzner is one of the world’s very top researchers in information visualization, and this meticulously crafted volume is probably the most thoughtful and deep synthesis the field has yet seen.\"\u003cbr\u003e—Michael McGuffin, École de Technologie Supérieure\u003c\/p\u003e\u003cp\u003e\"Tamara Munzner shares her deep insights in visualization with us in this excellent textbook, equally useful for students and experts in the field. Highly structured, with many examples that illustrate the underlying framework.\"\u003cbr\u003e—Jarke van Wijk, Eindhoven University of Technology\u003c\/p\u003e\u003cp\u003e\"This book provides the most comprehensive coverage of the fundamentals of visualization design that I have found. It is a much-needed and long-awaited resource for both teachers and practitioners of visualization.\"\u003cbr\u003e—Kwan-Liu Ma, University of California, Davis\u003c\/p\u003e\u003cp\u003e\"Visualization is fundamental to meeting the unprecedented challenges and exploiting the wonderful opportunities of the ever-expanding deluge of data confronting virtually every field. Tamara Munzner’s new book provides a principled treatment of visualization design. This is the visualization textbook I have long awaited. It emphasizes abstraction, design principles, and the importance of evaluation and interactivity.\"\u003cbr\u003e—Jim Hollan, University of California, San Diego\u003c\/p\u003e\u003cp\u003e\"Tamara Munzner is an outstanding scientist, a gifted scholar, and deeply cares about bringing research into practice … She is the driving force behind unifying methodology and terminology in the proliferating field of information visualization. Providing guidance, preventing mistakes, and showing best practices are the ingredients of the secret sauce that make this work so indispensable. The book puts together much of the wisdom she has accumulated over the years in a systematic, well-structured form and shapes the field of visualization in an unprecedented way. It helps to better understand problems, design better systems, avoid common mistakes, and better communicate results. Simply a must-read for everyone concerned with visualization!\"\u003cbr\u003e—Wolfgang Aigner, St. Pölten University of Applied Sciences\u003c\/p\u003e\u003cp\u003e\"\u003cstrong\u003eVisualization Analysis and Design\u003c\/strong\u003e gives a framework that formalizes a notion of effective visualization. By connecting design choices with visualization idioms, Munzner provides readers with tools to both articulate the analysis of visualizations and to invent their own.\"\u003cbr\u003e—Joshua A. Levine, Clemson University\u003c\/p\u003e\u003cp\u003e\"Without a doubt, \u003cstrong\u003eVisualization Analysis and Design\u003c\/strong\u003e is the most comprehensive book on information visualization (InfoVis) to date … Perhaps what is most impressive about this book is its coverage in both the breadth and depth of relevant InfoVis techniques and topics. It will be immediately accessible to both newcomers and veterans of InfoVis who are interested in catching up to the state of the art. The book can be used both as a textbook in a classroom setting or as a reference book in any visualization research group.\"\u003cbr\u003e—Remco Chang, Tufts University\u003c\/p\u003e\u003cp\u003e\"\u003cstrong\u003eVisualization Analysis and Design\u003c\/strong\u003e is a pleasure to read for the students in my course. Tamara Munzner is striving to make visualization accessible to a very broad audience and is succeeding. This is a textbook we were waiting for.\"\u003cbr\u003e—Torsten Möller, University of Vienna \u003c\/p\u003e\u003cp\u003e\"I like this book because it begins with providing a good way to think about visualization at a high level, and then follows through by providing the building blocks to use in achieving those goals. I think this book will be valuable to both researchers and practitioners because it provides well-grounded foundations as well as a framework to build upon them.\"\u003cbr\u003e—Michael Gleicher, University of Wisconsin–Madison\u003c\/p\u003e\u003cp\u003e\"This highly readable and well-organized book not only covers the fundamentals of visualization design, but also provides a solid framework for analyzing visualizations and visualization problems with concrete examples from the academic community. I am looking forward to teaching from this book and sharing it with my research group.\"\u003cbr\u003e—Michele C. Weigle, Old Dominion University\u003c\/p\u003e\u003cp\u003e\"Dr. Munzner’s work is at the right balance of theory of application—it is not just focused on the why, which is important, but the how. Concrete guidance at every point of the visualization design process is provided, an invaluable resource for instruction and learning.\"\u003cbr\u003e—T.J. Jankun-Kelly, Mississippi State University\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\"Visualization is a young field with only a few primary texts available. What distinguishes this one is the way it synthesizes past work to develop a comprehensive framework for design and analysis. … The author builds a framework for understanding the key elements of visualization and develops a synthesis of current best practices. … The book is filled with examples from the universe of visualization. Virtually all the possibilities for visualization design are illustrated with specific examples. … This is an attractive book, one that’s likely to be a fundamental source for the field. It’s worth a look for anyone with even a passing interest.\"\u003cbr\u003e—\u003cem\u003eMAA Reviews\u003c\/em\u003e, March 2015\u003c\/p\u003e\u003cp\u003e\"Munzner’s \u003cb\u003eVisualization Analysis and Design\u003c\/b\u003e is the first comprehensive textbook covering the topic of information visualization. She covers basic theory, careful analysis of the design space, design methodology, and numerous practical examples. Her taxonomic approach is ideally suited for use in the classroom to guide students through the many design decisions associated with creating effective visualizations.\"\u003cbr\u003e—Chris North, Virginia Tech\u003c\/p\u003e\u003cp\u003e\"\u003cb\u003eVisualization Analysis and Design\u003c\/b\u003e does a fantastic job in providing a framework and language for analyzing, critiquing, and discussing visualizations. This book provides a wonderful foundation for the field.\"\u003cbr\u003e—Miriah Meyer, University of Utah\u003c\/p\u003e\u003cp\u003e\"\u003cb\u003eVisualization Analysis and Design\u003c\/b\u003e is a book that fills the gaps in the existing literature. It offers a synthesized view and a framework most useful to guide the newcomer to visualization. The nested model that unifies design and evaluation is particularly enlightening. The book is truly valuable for an initial InfoVis course at the graduate level.\"\u003cbr\u003e—Beatriz Sousa Santos, Universidade de Aveiro\u003c\/p\u003e\u003cp\u003e\"Munzner elegantly synthesizes an astounding amount of cutting-edge work on visualization into a clear, engaging, and comprehensive textbook that will prove indispensable to students, designers, and researchers.\"\u003cbr\u003e—Steven Franconeri, Northwestern University\u003c\/p\u003e\u003cp\u003e\"A very detailed and thorough discussion of many topics central to information visualization. A must-read for researchers, sophisticated practitioners, and graduate students.\"\u003cbr\u003e—Jim Foley, Georgia Institute of Technology\u003c\/p\u003e\u003cp\u003e\"Munzner's new book is thorough and beautiful. It belongs on the shelf of anyone whose work and life are touched and enriched by visualization.\"\u003cbr\u003e—Chris Johnson, University of Utah\u003c\/p\u003e\u003cp\u003e\"Visualization is often presented in the classroom as a motley collection of techniques and algorithms designed to unearth insights from data. Tamara Munzner is one of the leading voices of the school that seeks to establish visualization as a discipline resting on well-understood pillars of perception, cognition, and interaction. This new volume from Tamara reflects her expansive views and presents visualization as a wholesome and essential topic for this age of Big Data and all things analytic.\"\u003cbr\u003e—Raghu Machiraju, The Ohio State University\u003c\/p\u003e\u003cp\u003e\"Tamara Munzner is one of the world’s very top researchers in information visualization, and this meticulously crafted volume is probably the most thoughtful and deep synthesis the field has yet seen.\"\u003cbr\u003e—Michael McGuffin, École de Technologie Supérieure\u003c\/p\u003e\u003cp\u003e\"Tamara Munzner shares her deep insights in visualization with us in this excellent textbook, equally useful for students and experts in the field. Highly structured, with many examples that illustrate the underlying framework.\"\u003cbr\u003e—Jarke van Wijk, Eindhoven University of Technology\u003c\/p\u003e\u003cp\u003e\"This book provides the most comprehensive coverage of the fundamentals of visualization design that I have found. It is a much-needed and long-awaited resource for both teachers and practitioners of visualization.\"\u003cbr\u003e—Kwan-Liu Ma, University of California, Davis\u003c\/p\u003e\u003cp\u003e\"Visualization is fundamental to meeting the unprecedented challenges and exploiting the wonderful opportunities of the ever-expanding deluge of data confronting virtually every field. Tamara Munzner’s new book provides a principled treatment of visualization design. This is the visualization textbook I have long awaited. It emphasizes abstraction, design principles, and the importance of evaluation and interactivity.\"\u003cbr\u003e—Jim Hollan, University of California, San Diego\u003c\/p\u003e\u003cp\u003e\"Tamara Munzner is an outstanding scientist, a gifted scholar, and deeply cares about bringing research into practice … She is the driving force behind unifying methodology and terminology in the proliferating field of information visualization. Providing guidance, preventing mistakes, and showing best practices are the ingredients of the secret sauce that make this work so indispensable. The book puts together much of the wisdom she has accumulated over the years in a systematic, well-structured form and shapes the field of visualization in an unprecedented way. It helps to better understand problems, design better systems, avoid common mistakes, and better communicate results. Simply a must-read for everyone concerned with visualization!\"\u003cbr\u003e—Wolfgang Aigner, St. Pölten University of Applied Sciences\u003c\/p\u003e\u003cp\u003e\"\u003cstrong\u003eVisualization Analysis and Design\u003c\/strong\u003e gives a framework that formalizes a notion of effective visualization. By connecting design choices with visualization idioms, Munzner provides readers with tools to both articulate the analysis of visualizations and to invent their own.\"\u003cbr\u003e—Joshua A. Levine, Clemson University\u003c\/p\u003e\u003cp\u003e\"Without a doubt, \u003cstrong\u003eVisualization Analysis and Design\u003c\/strong\u003e is the most comprehensive book on information visualization (InfoVis) to date … Perhaps what is most impressive about this book is its coverage in both the breadth and depth of relevant InfoVis techniques and topics. It will be immediately accessible to both newcomers and veterans of InfoVis who are interested in catching up to the state of the art. The book can be used both as a textbook in a classroom setting or as a reference book in any visualization research group.\"\u003cbr\u003e—Remco Chang, Tufts University\u003c\/p\u003e\u003cp\u003e\"\u003cstrong\u003eVisualization Analysis and Design\u003c\/strong\u003e is a pleasure to read for the students in my course. Tamara Munzner is striving to make visualization accessible to a very broad audience and is succeeding. This is a textbook we were waiting for.\"\u003cbr\u003e—Torsten Möller, University of Vienna\u003c\/p\u003e\u003cp\u003e\"I like this book because it begins with providing a good way to think about visualization at a high level, and then follows through by providing the building blocks to use in achieving those goals. I think this book will be valuable to both researchers and practitioners because it provides well-grounded foundations as well as a framework to build upon them.\"\u003cbr\u003e—Michael Gleicher, University of Wisconsin–Madison\u003c\/p\u003e\u003cp\u003e\"This highly readable and well-organized book not only covers the fundamentals of visualization design, but also provides a solid framework for analyzing visualizations and visualization problems with concrete examples from the academic community. I am looking forward to teaching from this book and sharing it with my research group.\"\u003cbr\u003e—Michele C. Weigle, Old Dominion University\u003c\/p\u003e\u003cp\u003e\"Dr. Munzner’s work is at the right balance of theory of application—it is not just focused on the why, which is important, but the how. Concrete guidance at every point of the visualization design process is provided, an invaluable resource for instruction and learning.\"\u003cbr\u003e—T.J. Jankun-Kelly, Mississippi State University\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eWhat's Vis, and Why Do It? What: Data Abstraction. Why: Task Abstraction. Analysis: Four Levels for Validation. Marks and Channels. Rules of Thumb. Arrange Tables. Arrange Spatial Data. Arrange Networks and Trees. Map Color and Other Channels. Manipulate View. Facet into Multiple Views. Reduce Items and Attributes. Embed: Focus+Context. Analysis Case Studies. Bibliography. \u003c\/p\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":49083989131607,"sku":"9781466508910","price":63.64,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781466508910.jpg?v=1725550684"},{"product_id":"computer-vision-algorithms-and-applications-9783030343712","title":"Computer Vision: Algorithms and Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cem\u003eComputer Vision: Algorithms and Applications\u003c\/em\u003e explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos.\u003c\/p\u003e\u003cp\u003eMore than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook\/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles.\u003c\/p\u003e\u003cp\u003eTopics and features:\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eStructured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses\u003c\/li\u003e\n\u003cli\u003eIncorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality\u003c\/li\u003e\n\u003cli\u003ePresents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIncludes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eProvides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSuitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49084750102871,"sku":"9783030343712","price":61.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030343712.jpg?v=1725553220"},{"product_id":"fundamentals-of-pattern-recognition-and-machine-learning-9783031609497","title":"Fundamentals of Pattern Recognition and Machine","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as deep neural networks and Gaussian process regression.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49084760686935,"sku":"9783031609497","price":49.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031609497.jpg?v=1725553255"},{"product_id":"fundamentals-of-capturing-and-processing-drone-imagery-and-data-9780367245726","title":"Fundamentals of Capturing and Processing Drone","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eUnmanned aircraft systems (UAS) are rapidly emerging as flexible platforms for capturing imagery and other data across the sciences. Many colleges and universities are developing courses on UAS-based data acquisition. \u003cb\u003eFundamentals of Capturing and Processing Drone Imagery and Data\u003c\/b\u003e is a comprehensive, introductory text on how to use unmanned aircraft systems for data capture and analysis. It provides best practices for planning data capture missions and hands-on learning modules geared toward UAS data collection, processing, and applications.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003c\/b\u003e\u003cp\u003eFEATURES\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eLays out a step-by-step approach to identify relevant tools and methods for UAS data\/image acquisition and processing.\u003c\/li\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eProvides practical hands-on knowledge with visual interpretation, well-organized and designed for a typical 16-week UAS course offered on college and university campuses.\u003c\/li\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eSuitable for all levels of readers and does not require prior know\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003ePart I: Getting Started with Drone Imagery and Data\u003c\/strong\u003e 1. Introduction to Capturing and Processing Drone Imagery and Data 2. An Introduction to Drone Remote Sensing and Photogrammetry 3. Choosing a Sensor for UAS Imagery Collection 4. Mission Planning for Capturing UAS Imagery 5. Drone Regulations: What You Need to Know before You Fly 6. Structure from Motion (SfM) Workflow for Processing Drone Imagery 7. Aerial Cinematography with UAS \u003cb\u003ePart II: Hands-On Applications Using Drone Imagery and Data \u003c\/b\u003e8. Planning Unoccupied Aircraft Systems (UAS) Missions 9. Aligning and Stitching Drone-Captured Images 10. Counting Wildlife from Drone-Captured Imagery Using Visual and Semi-Automated Techniques 11. Terrain and Surface Modeling of Vegetation Height Using Simple Linear Regression 12. Assessing the Accuracy of Digital Surface Models of an Earthen Dam Derived from SfM Techniques 13. Estimating Forage Mass from Unmanned Aircraft Systems in Rangelands 14. Applications of UAS-Derived Terrain Data for Hydrology and Flood Hazard Modeling 15. Comparing UAS and Terrestrial Laser Scanning Methods for Change Detection in Coastal Landscapes 16. Digital Preservation of Historical Heritage Using 3D Models and Augmented Reality 17. Identifying Burial Mounds and Enclosures Using RGB and Multispectral Indices Derived from UAS Imagery 18. Detecting Scales of Drone-Based Atmospheric Measurements Using Semivariograms 19. Assessing the Greenhouse Gas Carbon Dioxide in the Atmospheric Boundary Layer\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":49371686043991,"sku":"9780367245726","price":105.0,"currency_code":"GBP","in_stock":true}]},{"product_id":"machine-learning-9780128188033","title":"Machine Learning","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"This is a very complete Machine Learning book, as it covers statistical learning theory, both from frequentist and Bayesian perspectives. It also encompasses signal processing, probabilistic graphical models, deep learning, and latent variable modeling. It balances mathematical rigor with insightful comments to ease clear interpretation. The many examples make the text even more comprehensive. Each chapter has a well-curated list of references for further deepening on specific topics. Thus, it provides a thorough background for Machine Learning at an upper undergraduate level course. This book is also an excellent reference for practitioners to understand the necessary theory to apply Machine Learning with informed criteria.\" --Hamed Yazdanpanah, Postdoctoral Researcher, University of São Paulo    Reviews of the previous edition: \"Overall, this text is well organized and full of details suitable for advanced graduate and postgraduate courses, as well as scholars...\" --Computing Reviews   \"Machine Learning: A Bayesian and Optimization Perspective, Academic Press, 2105, by Sergios Theodoridis is a wonderful book, up to date and rich in detail. It covers a broad selection of topics ranging from classical regression and classification techniques to more recent ones including sparse modeling, convex optimization, Bayesian learning, graphical models and neural networks, giving it a very modern feel and making it highly relevant in the deep learning era. While other widely used machine learning textbooks tend to sacrifice clarity for elegance, Professor Theodoridis provides you with enough detail and insights to understand the \"fine print\". This makes the book indispensable for the active machine learner.\" --Prof. Lars Kai Hansen, DTU Compute - Dept. Applied Mathematics and Computer Science Technical University of Denmark   \"Before the publication of Machine Learning: A Bayesian and Optimization Perspective, I had the opportunity to review one of the chapters in the book (on Monte Carlo methods). I have published actively in this area, and so I was curious how S. Theodoridis would write about it. I was utterly impressed. The chapter presented the material with an optimal mix of theoretical and practical contents in very clear manner and with information for a wide range of readers, from newcomers to more advanced readers. This raised my curiosity to read the rest of the book once it was published. I did it and my original impressions were further reinforced. S. Theodoridis has a great capability to disentangle the important from the unimportant and to make the most of the used space for writing. His text is rich with insights about the addressed topics that are not only helpful for novices but also for seasoned researchers. It goes without saying that my department adopted his book as a textbook in the course on machine learning.\" --Petar M. Djuric, Ph.D. SUNY Distinguished Professor Department of Electrical and Computer Engineering Stony Brook University, Stony Brook, USA   \"As someone who has taught graduate courses in pattern recognition for over 35 years, I have always looked for a rigorous book that is current and appealing to students with widely varying backgrounds. The book on Machine Learning by Sergios Theodoridis has struck the perfect balance in explaining the key (traditional and new) concepts in machine learning in a way that can be appreciated by undergraduate and graduate students as well as practicing engineers and scientists. The chapters have been written in a self-consistent way, which will help instructors to assemble different sections of the book to suit the background of students\" --Rama Cellappa, Distinguished University Professor, Minta Martin Professor of Engineering, Chair, Department of Electrical and Computer Engineering, University of Maryland, USA\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction 2. Probability and stochastic Processes 3. Learning in parametric Modeling: Basic Concepts and Directions 4. Mean-Square Error Linear Estimation 5. Stochastic Gradient Descent: the LMS Algorithm and its Family 6. The Least-Squares Family 7. Classification: A Tour of the Classics 8. Parameter Learning: A Convex Analytic Path 9. Sparsity-Aware Learning: Concepts and Theoretical Foundations 10. Sparsity-Aware Learning: Algorithms and Applications 11. Learning in Reproducing Kernel Hilbert Spaces 12. Bayesian Learning: Inference and the EM Algorithm 13. Bayesian Learning: Approximate Inference and nonparametric Models 14. Montel Carlo Methods 15. Probabilistic Graphical Models: Part 1 16. Probabilistic Graphical Models: Part 2 17. Particle Filtering 18. Neural Networks and Deep Learning 19. Dimensionality Reduction and Latent Variables Modeling","brand":"Elsevier Science Publishing Co Inc","offers":[{"title":"Default Title","offer_id":49399838409047,"sku":"9780128188033","price":72.86,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780128188033.jpg?v=1730468872"},{"product_id":"still-image-and-video-compression-with-matlab-9780470484166","title":"Still Image and Video Compression with MATLAB","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book describes the principles of image and video compression techniques and introduces current and popular compression standards, such as the MPEG series. Derivations of relevant compression algorithms are developed in an easy-to-follow fashion. Numerous examples are provided in each chapter to illustrate the concepts.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cb\u003ePreface.\u003c\/b\u003e  \u003cp\u003e\u003cb\u003e1 Introduction.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 What is Source Coding?\u003c\/p\u003e \u003cp\u003e1.2 Why is Compression Necessary?\u003c\/p\u003e \u003cp\u003e1.3 Image and Video Compression Techniques.\u003c\/p\u003e \u003cp\u003e1.4 Video Compression Standards.\u003c\/p\u003e \u003cp\u003e1.5 Organization of the Book.\u003c\/p\u003e \u003cp\u003e1.6 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Image Acquisition.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction.\u003c\/p\u003e \u003cp\u003e2.2 Sampling a Continuous Image.\u003c\/p\u003e \u003cp\u003e2.3 Image Quantization.\u003c\/p\u003e \u003cp\u003e2.4 Color Image Representation.\u003c\/p\u003e \u003cp\u003e2.5 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eProblems.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Image Transforms.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction.\u003c\/p\u003e \u003cp\u003e3.2 Unitary Transforms.\u003c\/p\u003e \u003cp\u003e3.3 Karhunen–Loeve Transform.\u003c\/p\u003e \u003cp\u003e3.4 Properties of Unitary Transforms.\u003c\/p\u003e \u003cp\u003e3.5 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eProblems.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Discrete Wavelet Transform.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction.\u003c\/p\u003e \u003cp\u003e4.2 Continuous Wavelet Transform.\u003c\/p\u003e \u003cp\u003e4.3 Wavelet Series.\u003c\/p\u003e \u003cp\u003e4.4 Discrete Wavelet Transform.\u003c\/p\u003e \u003cp\u003e4.5 Efficient Implementation of 1D DWT.\u003c\/p\u003e \u003cp\u003e4.6 Scaling and Wavelet Filters.\u003c\/p\u003e \u003cp\u003e4.7 Two-Dimensional DWT.\u003c\/p\u003e \u003cp\u003e4.8 Energy Compaction Property.\u003c\/p\u003e \u003cp\u003e4.9 Integer or Reversible Wavelet.\u003c\/p\u003e \u003cp\u003e4.10 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eProblems.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Lossless Coding.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction.\u003c\/p\u003e \u003cp\u003e5.2 Information Theory.\u003c\/p\u003e \u003cp\u003e5.3 Huffman Coding.\u003c\/p\u003e \u003cp\u003e5.4 Arithmetic Coding.\u003c\/p\u003e \u003cp\u003e5.5 Golomb–Rice Coding.\u003c\/p\u003e \u003cp\u003e5.6 Run–Length Coding.\u003c\/p\u003e \u003cp\u003e5.7 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eProblems.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Predictive Coding.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction.\u003c\/p\u003e \u003cp\u003e6.2 Design of a DPCM.\u003c\/p\u003e \u003cp\u003e6.3 Adaptive DPCM.\u003c\/p\u003e \u003cp\u003e6.4 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eProblems.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Image Compression in the Transform Domain.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction.\u003c\/p\u003e \u003cp\u003e7.2 Basic Idea Behind Transform Coding.\u003c\/p\u003e \u003cp\u003e7.3 Coding Gain of a Transform Coder.\u003c\/p\u003e \u003cp\u003e7.4 JPEG Compression.\u003c\/p\u003e \u003cp\u003e7.5 Compression of Color Images.\u003c\/p\u003e \u003cp\u003e7.6 Blocking Artifact.\u003c\/p\u003e \u003cp\u003e7.7 Variable Block Size DCT Coding.\u003c\/p\u003e \u003cp\u003e7.8 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eProblems.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Image Compression in the Wavelet Domain.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction.\u003c\/p\u003e \u003cp\u003e8.2 Design of a DWT Coder.\u003c\/p\u003e \u003cp\u003e8.3 Zero-Tree Coding.\u003c\/p\u003e \u003cp\u003e8.4 JPEG2000.\u003c\/p\u003e \u003cp\u003e8.5 Digital Cinema.\u003c\/p\u003e \u003cp\u003e8.6 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eProblems.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Basics of Video Compression.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction.\u003c\/p\u003e \u003cp\u003e9.2 Video Coding.\u003c\/p\u003e \u003cp\u003e9.3 Stereo Image Compression.\u003c\/p\u003e \u003cp\u003e9.4 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eProblems.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Video Compression Standards.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction.\u003c\/p\u003e \u003cp\u003e10.2 MPEG-1 and MPEG-2 Standards.\u003c\/p\u003e \u003cp\u003e10.3 MPEG-4.\u003c\/p\u003e \u003cp\u003e10.4 H.264.\u003c\/p\u003e \u003cp\u003e10.5 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eProblems.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402341392727,"sku":"9780470484166","price":104.36,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780470484166.jpg?v=1730480122"},{"product_id":"algorithms-for-image-processing-and-computer-vision-9780470643853","title":"Algorithms for Image Processing and Computer","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eProgrammers, scientists, and engineers are always in need of newer techniques and algorithms to manipulate and interpret images.   Algorithms for Image Processing and Computer Vision is an accessible collection of algorithms for common image processing applications that simplifies complicated mathematical calculations.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Practical Aspects of a Vision System — Image Display, Input\/Output, and Library Calls 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOpenCV 2\u003c\/p\u003e \u003cp\u003eThe Basic OpenCV Code 2\u003c\/p\u003e \u003cp\u003eThe IplImage Data Structure 3\u003c\/p\u003e \u003cp\u003eReading and Writing Images 6\u003c\/p\u003e \u003cp\u003eImage Display 7\u003c\/p\u003e \u003cp\u003eAn Example 7\u003c\/p\u003e \u003cp\u003eImage Capture 10\u003c\/p\u003e \u003cp\u003eInterfacing with the AIPCV Library 14\u003c\/p\u003e \u003cp\u003eWebsite Files 18\u003c\/p\u003e \u003cp\u003eReferences 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Edge-Detection Techniques 21\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Purpose of Edge Detection 21\u003c\/p\u003e \u003cp\u003eTraditional Approaches and Theory 23\u003c\/p\u003e \u003cp\u003eModels of Edges 24\u003c\/p\u003e \u003cp\u003eNoise 26\u003c\/p\u003e \u003cp\u003eDerivative Operators 30\u003c\/p\u003e \u003cp\u003eTemplate-Based Edge Detection 36\u003c\/p\u003e \u003cp\u003eEdge Models: The Marr-Hildreth Edge Detector 39\u003c\/p\u003e \u003cp\u003eThe Canny Edge Detector 42\u003c\/p\u003e \u003cp\u003eThe Shen-Castan (ISEF) Edge Detector 48\u003c\/p\u003e \u003cp\u003eA Comparison of Two Optimal Edge Detectors 51\u003c\/p\u003e \u003cp\u003eColor Edges 53\u003c\/p\u003e \u003cp\u003eSource Code for the Marr-Hildreth Edge Detector 58\u003c\/p\u003e \u003cp\u003eSource Code for the Canny Edge Detector 62\u003c\/p\u003e \u003cp\u003eSource Code for the Shen-Castan Edge Detector 70\u003c\/p\u003e \u003cp\u003eWebsite Files 80\u003c\/p\u003e \u003cp\u003eReferences 82\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Digital Morphology 85\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMorphology Defined 85\u003c\/p\u003e \u003cp\u003eConnectedness 86\u003c\/p\u003e \u003cp\u003eElements of Digital Morphology — Binary Operations 87\u003c\/p\u003e \u003cp\u003eBinary Dilation 88\u003c\/p\u003e \u003cp\u003eImplementing Binary Dilation 92\u003c\/p\u003e \u003cp\u003eBinary Erosion 94\u003c\/p\u003e \u003cp\u003eImplementation of Binary Erosion 100\u003c\/p\u003e \u003cp\u003eOpening and Closing 101\u003c\/p\u003e \u003cp\u003eMAX — A High-Level Programming Language for Morphology 107\u003c\/p\u003e \u003cp\u003eThe ‘‘Hit-and-Miss’’ Transform 113\u003c\/p\u003e \u003cp\u003eIdentifying Region Boundaries 116\u003c\/p\u003e \u003cp\u003eConditional Dilation 116\u003c\/p\u003e \u003cp\u003eCounting Regions 119\u003c\/p\u003e \u003cp\u003eGrey-Level Morphology 121\u003c\/p\u003e \u003cp\u003eOpening and Closing 123\u003c\/p\u003e \u003cp\u003eSmoothing 126\u003c\/p\u003e \u003cp\u003eGradient 128\u003c\/p\u003e \u003cp\u003eSegmentation of Textures 129\u003c\/p\u003e \u003cp\u003eSize Distribution of Objects 130\u003c\/p\u003e \u003cp\u003eColor Morphology 131\u003c\/p\u003e \u003cp\u003eWebsite Files 132\u003c\/p\u003e \u003cp\u003eReferences 135\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Grey-Level Segmentation 137\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBasics of Grey-Level Segmentation 137\u003c\/p\u003e \u003cp\u003eUsing Edge Pixels 139\u003c\/p\u003e \u003cp\u003eIterative Selection 140\u003c\/p\u003e \u003cp\u003eThe Method of Grey-Level Histograms 141\u003c\/p\u003e \u003cp\u003eUsing Entropy 142\u003c\/p\u003e \u003cp\u003eFuzzy Sets 146\u003c\/p\u003e \u003cp\u003eMinimum Error Thresholding 148\u003c\/p\u003e \u003cp\u003eSample Results From Single Threshold Selection 149\u003c\/p\u003e \u003cp\u003eThe Use of Regional Thresholds 151\u003c\/p\u003e \u003cp\u003eChow and Kaneko 152\u003c\/p\u003e \u003cp\u003eModeling Illumination Using Edges 156\u003c\/p\u003e \u003cp\u003eImplementation and Results 159\u003c\/p\u003e \u003cp\u003eComparisons 160\u003c\/p\u003e \u003cp\u003eRelaxation Methods 161\u003c\/p\u003e \u003cp\u003eMoving Averages 167\u003c\/p\u003e \u003cp\u003eCluster-Based Thresholds 170\u003c\/p\u003e \u003cp\u003eMultiple Thresholds 171\u003c\/p\u003e \u003cp\u003eWebsite Files 172\u003c\/p\u003e \u003cp\u003eReferences 173\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Texture and Color 177\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTexture and Segmentation 177\u003c\/p\u003e \u003cp\u003eA Simple Analysis of Texture in Grey-Level Images 179\u003c\/p\u003e \u003cp\u003eGrey-Level Co-Occurrence 182\u003c\/p\u003e \u003cp\u003eMaximum Probability 185\u003c\/p\u003e \u003cp\u003eMoments 185\u003c\/p\u003e \u003cp\u003eContrast 185\u003c\/p\u003e \u003cp\u003eHomogeneity 185\u003c\/p\u003e \u003cp\u003eEntropy 186\u003c\/p\u003e \u003cp\u003eResults from the GLCM Descriptors 186\u003c\/p\u003e \u003cp\u003eSpeeding Up the Texture Operators 186\u003c\/p\u003e \u003cp\u003eEdges and Texture 188\u003c\/p\u003e \u003cp\u003eEnergy and Texture 191\u003c\/p\u003e \u003cp\u003eSurfaces and Texture 193\u003c\/p\u003e \u003cp\u003eVector Dispersion 193\u003c\/p\u003e \u003cp\u003eSurface Curvature 195\u003c\/p\u003e \u003cp\u003eFractal Dimension 198\u003c\/p\u003e \u003cp\u003eColor Segmentation 201\u003c\/p\u003e \u003cp\u003eColor Textures 205\u003c\/p\u003e \u003cp\u003eWebsite Files 205\u003c\/p\u003e \u003cp\u003eReferences 206\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Thinning 209\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Is a Skeleton? 209\u003c\/p\u003e \u003cp\u003eThe Medial Axis Transform 210\u003c\/p\u003e \u003cp\u003eIterative Morphological Methods 212\u003c\/p\u003e \u003cp\u003eThe Use of Contours 221\u003c\/p\u003e \u003cp\u003eChoi\/Lam\/Siu Algorithm 224\u003c\/p\u003e \u003cp\u003eTreating the Object as a Polygon 226\u003c\/p\u003e \u003cp\u003eTriangulation Methods 227\u003c\/p\u003e \u003cp\u003eForce-Based Thinning 228\u003c\/p\u003e \u003cp\u003eDefinitions 229\u003c\/p\u003e \u003cp\u003eUse of a Force Field 230\u003c\/p\u003e \u003cp\u003eSubpixel Skeletons 234\u003c\/p\u003e \u003cp\u003eSource Code for Zhang-Suen\/Stentiford\/Holt Combined Algorithm 235\u003c\/p\u003e \u003cp\u003eWebsite Files 246\u003c\/p\u003e \u003cp\u003eReferences 247\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Image Restoration 251\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eImage Degradations — The Real World 251\u003c\/p\u003e \u003cp\u003eThe Frequency Domain 253\u003c\/p\u003e \u003cp\u003eThe Fourier Transform 254\u003c\/p\u003e \u003cp\u003eThe Fast Fourier Transform 256\u003c\/p\u003e \u003cp\u003eThe Inverse Fourier Transform 260\u003c\/p\u003e \u003cp\u003eTwo-Dimensional Fourier Transforms 260\u003c\/p\u003e \u003cp\u003eFourier Transforms in OpenCV 262\u003c\/p\u003e \u003cp\u003eCreating Artificial Blur 264\u003c\/p\u003e \u003cp\u003eThe Inverse Filter 270\u003c\/p\u003e \u003cp\u003eThe Wiener Filter 271\u003c\/p\u003e \u003cp\u003eStructured Noise 273\u003c\/p\u003e \u003cp\u003eMotion Blur — A Special Case 276\u003c\/p\u003e \u003cp\u003eThe Homomorphic Filter — Illumination 277\u003c\/p\u003e \u003cp\u003eFrequency Filters in General 278\u003c\/p\u003e \u003cp\u003eIsolating Illumination Effects 280\u003c\/p\u003e \u003cp\u003eWebsite Files 281\u003c\/p\u003e \u003cp\u003eReferences 283\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Classification 285\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eObjects, Patterns, and Statistics 285\u003c\/p\u003e \u003cp\u003eFeatures and Regions 288\u003c\/p\u003e \u003cp\u003eTraining and Testing 292\u003c\/p\u003e \u003cp\u003eVariation: In-Class and Out-Class 295\u003c\/p\u003e \u003cp\u003eMinimum Distance Classifiers 299\u003c\/p\u003e \u003cp\u003eDistance Metrics 300\u003c\/p\u003e \u003cp\u003eDistances Between Features 302\u003c\/p\u003e \u003cp\u003eCross Validation 304\u003c\/p\u003e \u003cp\u003eSupport Vector Machines 306\u003c\/p\u003e \u003cp\u003eMultiple Classifiers — Ensembles 309\u003c\/p\u003e \u003cp\u003eMerging Multiple Methods 309\u003c\/p\u003e \u003cp\u003eMerging Type 1 Responses 310\u003c\/p\u003e \u003cp\u003eEvaluation 311\u003c\/p\u003e \u003cp\u003eConverting Between Response Types 312\u003c\/p\u003e \u003cp\u003eMerging Type 2 Responses 313\u003c\/p\u003e \u003cp\u003eMerging Type 3 Responses 315\u003c\/p\u003e \u003cp\u003eBagging and Boosting 315\u003c\/p\u003e \u003cp\u003eBagging 315\u003c\/p\u003e \u003cp\u003eBoosting 316\u003c\/p\u003e \u003cp\u003eWebsite Files 317\u003c\/p\u003e \u003cp\u003eReferences 318\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Symbol Recognition 321\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Problem 321\u003c\/p\u003e \u003cp\u003eOCR on Simple Perfect Images 322\u003c\/p\u003e \u003cp\u003eOCR on Scanned Images — Segmentation 326\u003c\/p\u003e \u003cp\u003eNoise 327\u003c\/p\u003e \u003cp\u003eIsolating Individual Glyphs 329\u003c\/p\u003e \u003cp\u003eMatching Templates 333\u003c\/p\u003e \u003cp\u003eStatistical Recognition 337\u003c\/p\u003e \u003cp\u003eOCR on Fax Images — Printed Characters 339\u003c\/p\u003e \u003cp\u003eOrientation — Skew Detection 340\u003c\/p\u003e \u003cp\u003eThe Use of Edges 345\u003c\/p\u003e \u003cp\u003eHandprinted Characters 348\u003c\/p\u003e \u003cp\u003eProperties of the Character Outline 349\u003c\/p\u003e \u003cp\u003eConvex Deficiencies 353\u003c\/p\u003e \u003cp\u003eVector Templates 357\u003c\/p\u003e \u003cp\u003eNeural Nets 363\u003c\/p\u003e \u003cp\u003eA Simple Neural Net 364\u003c\/p\u003e \u003cp\u003eA Backpropagation Net for Digit Recognition 368\u003c\/p\u003e \u003cp\u003eThe Use of Multiple Classifiers 372\u003c\/p\u003e \u003cp\u003eMerging Multiple Methods 372\u003c\/p\u003e \u003cp\u003eResults From the Multiple Classifier 375\u003c\/p\u003e \u003cp\u003ePrinted Music Recognition — A Study 375\u003c\/p\u003e \u003cp\u003eStaff Lines 376\u003c\/p\u003e \u003cp\u003eSegmentation 378\u003c\/p\u003e \u003cp\u003eMusic Symbol Recognition 381\u003c\/p\u003e \u003cp\u003eSource Code for Neural Net Recognition System 383\u003c\/p\u003e \u003cp\u003eWebsite Files 390\u003c\/p\u003e \u003cp\u003eReferences 392\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Content-Based Search — Finding Images by Example 395\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSearching Images 395\u003c\/p\u003e \u003cp\u003eMaintaining Collections of Images 396\u003c\/p\u003e \u003cp\u003eFeatures for Query by Example 399\u003c\/p\u003e \u003cp\u003eColor Image Features 399\u003c\/p\u003e \u003cp\u003eMean Color 400\u003c\/p\u003e \u003cp\u003eColor Quad Tree 400\u003c\/p\u003e \u003cp\u003eHue and Intensity Histograms 401\u003c\/p\u003e \u003cp\u003eComparing Histograms 402\u003c\/p\u003e \u003cp\u003eRequantization 403\u003c\/p\u003e \u003cp\u003eResults from Simple Color Features 404\u003c\/p\u003e \u003cp\u003eOther Color-Based Methods 407\u003c\/p\u003e \u003cp\u003eGrey-Level Image Features 408\u003c\/p\u003e \u003cp\u003eGrey Histograms 409\u003c\/p\u003e \u003cp\u003eGrey Sigma — Moments 409\u003c\/p\u003e \u003cp\u003eEdge Density — Boundaries Between Objects 409\u003c\/p\u003e \u003cp\u003eEdge Direction 410\u003c\/p\u003e \u003cp\u003eBoolean Edge Density 410\u003c\/p\u003e \u003cp\u003eSpatial Considerations 411\u003c\/p\u003e \u003cp\u003eOverall Regions 411\u003c\/p\u003e \u003cp\u003eRectangular Regions 412\u003c\/p\u003e \u003cp\u003eAngular Regions 412\u003c\/p\u003e \u003cp\u003eCircular Regions 414\u003c\/p\u003e \u003cp\u003eHybrid Regions 414\u003c\/p\u003e \u003cp\u003eTest of Spatial Sampling 414\u003c\/p\u003e \u003cp\u003eAdditional Considerations 417\u003c\/p\u003e \u003cp\u003eTexture 418\u003c\/p\u003e \u003cp\u003eObjects, Contours, Boundaries 418\u003c\/p\u003e \u003cp\u003eData Sets 418\u003c\/p\u003e \u003cp\u003eWebsite Files 419\u003c\/p\u003e \u003cp\u003eReferences 420\u003c\/p\u003e \u003cp\u003eSystems 424\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 High-Performance Computing for Vision and Image Processing 425\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eParadigms for Multiple-Processor Computation 426\u003c\/p\u003e \u003cp\u003eShared Memory 426\u003c\/p\u003e \u003cp\u003eMessage Passing 427\u003c\/p\u003e \u003cp\u003eExecution Timing 427\u003c\/p\u003e \u003cp\u003eUsing clock() 428\u003c\/p\u003e \u003cp\u003eUsing QueryPerformanceCounter 430\u003c\/p\u003e \u003cp\u003eThe Message-Passing Interface System 432\u003c\/p\u003e \u003cp\u003eInstalling MPI 432\u003c\/p\u003e \u003cp\u003eUsing MPI 433\u003c\/p\u003e \u003cp\u003eInter-Process Communication 434\u003c\/p\u003e \u003cp\u003eRunning MPI Programs 436\u003c\/p\u003e \u003cp\u003eReal Image Computations 437\u003c\/p\u003e \u003cp\u003eUsing a Computer Network — Cluster Computing 440\u003c\/p\u003e \u003cp\u003eA Shared Memory System — Using the PC Graphics Processor 444\u003c\/p\u003e \u003cp\u003eGLSL 444\u003c\/p\u003e \u003cp\u003eOpenGL Fundamentals 445\u003c\/p\u003e \u003cp\u003ePractical Textures in OpenGL 448\u003c\/p\u003e \u003cp\u003eShader Programming Basics 451\u003c\/p\u003e \u003cp\u003eVertex and Fragment Shaders 452\u003c\/p\u003e \u003cp\u003eRequired GLSL Initializations 453\u003c\/p\u003e \u003cp\u003eReading and Converting the Image 454\u003c\/p\u003e \u003cp\u003ePassing Parameters to Shader Programs 456\u003c\/p\u003e \u003cp\u003ePutting It All Together 457\u003c\/p\u003e \u003cp\u003eSpeedup Using the GPU 459\u003c\/p\u003e \u003cp\u003eDeveloping and Testing Shader Code 459\u003c\/p\u003e \u003cp\u003eFinding the Needed Software 460\u003c\/p\u003e \u003cp\u003eWebsite Files 461\u003c\/p\u003e \u003cp\u003eReferences 461\u003c\/p\u003e \u003cp\u003eIndex 465\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402384974167,"sku":"9780470643853","price":71.1,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780470643853.jpg?v=1730480236"},{"product_id":"analog-mos-integrated-circuits-for-signal-processing-9780471097976","title":"Analog MOS Integrated Circuits for Signal","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eDescribes the operating principles of analog MOS integrated circuits and how to design and use such circuits. The initial section explores general properties of analog MOS integrated circuits and the math and physics background required. The remainder of the book is devoted to the design of circuits.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eTransformation Methods.\u003cbr\u003e \u003cbr\u003e MOS Devices as Circuit Elements.\u003cbr\u003e \u003cbr\u003e MOS Operational Amplifiers.\u003cbr\u003e \u003cbr\u003e Switched-Capacitor Filters.\u003cbr\u003e \u003cbr\u003e Nonfiltering Applications of Switched-Capacitor Circuits.\u003cbr\u003e \u003cbr\u003e Nonideal Effects in Switched-Capacitor Circuits.\u003cbr\u003e \u003cbr\u003e Systems Considerations and Applications.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402486227287,"sku":"9780471097976","price":226.76,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471097976.jpg?v=1730480553"},{"product_id":"analog-signal-processing-9780471125280","title":"Analog Signal Processing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA proven, cost-effective approach to solving analog signal processing design problems\u003cbr\u003e \u003cbr\u003e Most design problems involving analog circuits require a great deal of creativity to solve. But, as the authors of this groundbreaking guide demonstrate, finding solutions to most analog signal processing problems does not have to be that difficult.\u003cbr\u003e \u003cbr\u003e Analog Signal Processing presents an original, five-step, design-oriented approach to solving analog signal processing problems using standard ICs as building blocks. Unlike most authors who prescribe a bottom-up approach, Professors Pallás-Areny and Webster cast design problems first in functional terms and then develop possible solutions using available ICs, focusing on circuit performance rather than internal structure. The five steps of their approach move from signal classification, definition of desired functions, and description of analog domain conversions to error classification and error analysis.\u003cbr\u003e \u003cbr\u003e Featuring 90 worked ex\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSignals and Signal Processing.\u003cbr\u003e \u003cbr\u003e Voltage Amplification.\u003cbr\u003e \u003cbr\u003e Current-to-Voltage and Voltage-to-Current Conversion.\u003cbr\u003e \u003cbr\u003e Linear Analog Functions.\u003cbr\u003e \u003cbr\u003e AC\/DC Signal Conversion.\u003cbr\u003e \u003cbr\u003e Other Nonlinear Analog Functions.\u003cbr\u003e \u003cbr\u003e Analog Signal Filtering.\u003cbr\u003e \u003cbr\u003e Analog Signal Switching, Multiplexing and Sampling.\u003cbr\u003e \u003cbr\u003e Error Analysis and Reduction.\u003cbr\u003e \u003cbr\u003e Interference and Its Reduction.\u003cbr\u003e \u003cbr\u003e Noise, Drift and Their Reduction.\u003cbr\u003e \u003cbr\u003e Appendices.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402492879191,"sku":"9780471125280","price":184.46,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471125280.jpg?v=1730480574"},{"product_id":"nonlinear-and-adaptive-control-design-9780471127321","title":"Nonlinear and Adaptive Control Design","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eUsing a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties. The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backstepping.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSTATE FEEDBACK.\u003cbr\u003e \u003cbr\u003e Design Tools for Stabilization.\u003cbr\u003e \u003cbr\u003e Adaptive Backstepping Design.\u003cbr\u003e \u003cbr\u003e Tuning Functions Design.\u003cbr\u003e \u003cbr\u003e Modular Design with Passive Identifiers.\u003cbr\u003e \u003cbr\u003e Modular Design with Swapping Identifiers.\u003cbr\u003e \u003cbr\u003e OUTPUT FEEDBACK.\u003cbr\u003e \u003cbr\u003e Output-Feedback Design Tools.\u003cbr\u003e \u003cbr\u003e Tuning Functions Designs.\u003cbr\u003e \u003cbr\u003e Modular Designs.\u003cbr\u003e \u003cbr\u003e Linear Systems.\u003cbr\u003e \u003cbr\u003e Appendices.\u003cbr\u003e \u003cbr\u003e Bibliography.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402493010263,"sku":"9780471127321","price":168.26,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471127321.jpg?v=1730480575"},{"product_id":"digital-signal-processing-8-topics-in-digital-signal-processing-9780471152439","title":"Digital Signal Processing 8 Topics in Digital","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA readable, understandable introduction to DSP for professionals and students alike...   This practical guide is a welcome alternative to more complicated introductions to DSP.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eThe Development of Digital Signal Processing.\u003cbr\u003e \u003cbr\u003e Why Do It Digitally Anyway?\u003cbr\u003e \u003cbr\u003e Converting Analog to Digital.\u003cbr\u003e \u003cbr\u003e Filtering.\u003cbr\u003e \u003cbr\u003e Transforming Signals into the Frequency Domain.\u003cbr\u003e \u003cbr\u003e Encoding of Waveforms-Increasing the Channel Bandwidth.\u003cbr\u003e \u003cbr\u003e Practical DSP Hardware Design Issues.\u003cbr\u003e \u003cbr\u003e DSP System Design Flow.\u003cbr\u003e \u003cbr\u003e Glossary of Acronyms.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402501693783,"sku":"9780471152439","price":107.06,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471152439.jpg?v=1730480600"},{"product_id":"synthetic-aperture-radar-signal-processing-with-matlab-algorithms-9780471297062","title":"Synthetic Aperture Radar Signal Processing with","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eAn up-to-date analysis of the SAR wavefront reconstruction signal theory and its digital implementation. With the advent of fast computing and digital information processing techniques, synthetic aperture radar (SAR) technology has become both more powerful and more accurate.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eRange Imaging.\u003cbr\u003e \u003cbr\u003e Cross-Range Imaging.\u003cbr\u003e \u003cbr\u003e SAR Radiation Pattern.\u003cbr\u003e \u003cbr\u003e Generic Synthetic Aperture Radar.\u003cbr\u003e \u003cbr\u003e Spotlight Synthetic Aperture Radar.\u003cbr\u003e \u003cbr\u003e Stripmap Synthetic Aperture Radar.\u003cbr\u003e \u003cbr\u003e Circular Synthetic Aperture Radar.\u003cbr\u003e \u003cbr\u003e Monopulse Synthetic Aperture Radar.\u003cbr\u003e \u003cbr\u003e Bibliography.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402557170007,"sku":"9780471297062","price":161.06,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471297062.jpg?v=1730480750"},{"product_id":"photogrammetry-9780471309246","title":"Photogrammetry","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis text is designed to give students a strong grounding in the mathematical basis of photogrammetry while introducing them to related fields, such as remote sensing and digital image processing.\u003c\/p\u003e\u003cp\u003eSuitable for undergraduate photogrammetry courses typically aimed at junior and senior students, and for graduate-level courses at the Master''s level. Excellent reference for those working in related fields.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1 Introduction 1\u003c\/p\u003e \u003cp\u003e2 Elementary Photogrammetry 13\u003c\/p\u003e \u003cp\u003e3 Photogrammetric Sensing Systems 33\u003c\/p\u003e \u003cp\u003e4 Mathematical Concepts in Photogrammetry 80\u003c\/p\u003e \u003cp\u003e5 Resection, Intersection, and Triangulation 107\u003c\/p\u003e \u003cp\u003e6 Digital Photogrammetry 152\u003c\/p\u003e \u003cp\u003e7 Photogrammetric Instruments 203\u003c\/p\u003e \u003cp\u003e8 Photogrammetric Products 225\u003c\/p\u003e \u003cp\u003e9 Close-range Photogrammetry 247\u003c\/p\u003e \u003cp\u003e10 Analysis of Multispectral and Hyperspectral Image Data 276\u003c\/p\u003e \u003cp\u003e11 Active Sensing Systems 301\u003c\/p\u003e \u003cp\u003eAppendix A: Mathematics for Photogrammetry 351\u003c\/p\u003e \u003cp\u003eAppendix B: Least Squares Adjustment 387\u003c\/p\u003e \u003cp\u003eAppendix C: Linearization of Photogrammetric Condition Equations 423\u003c\/p\u003e \u003cp\u003eAppendix D: Mathematical Description of Linear Features 433\u003c\/p\u003e \u003cp\u003eAppendix E: Further Consideration of the Rotation Matrix 446\u003c\/p\u003e \u003cp\u003eAppendix F: Orbital Photogrammetry 455\u003c\/p\u003e \u003cp\u003eAppendix G: Software of Photogrammetric Applications 464\u003c\/p\u003e \u003cp\u003eIndex 473\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402561364311,"sku":"9780471309246","price":217.76,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471309246.jpg?v=1730480755"},{"product_id":"fundamentals-of-digital-signal-processing-9780471603634","title":"Fundamentals of Digital Signal Processing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA concise introduction to the design and analysis of digital signal processors. Unique in its presentation of advanced topics at the undergraduate level. Contains excellent graphics and includes coverage of the A\/D-digital filter and D\/A structures of digital systems. Each chapter includes many carefully worked-out examples and concludes with a summary and problems.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eFundamentals of Discrete-Time Systems.\u003cbr\u003e \u003cbr\u003e The Z-Transform.\u003cbr\u003e \u003cbr\u003e Analog Filter Design.\u003cbr\u003e \u003cbr\u003e Digital Filter Design.\u003cbr\u003e \u003cbr\u003e Realizations of Filters.\u003cbr\u003e \u003cbr\u003e The Discrete Fourier Transform.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402642792791,"sku":"9780471603634","price":202.35,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471603634.jpg?v=1730481074"},{"product_id":"one-and-multidimensional-signal-processing-9780471805410","title":"One And Multidimensional Signal Processing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eWith the constant increase in applications involving image processing and multimedia procedures digital signal processing (DSP) is important for modern information engineering.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"The scope of this reference and tutorial is to introduce the algorithm basics of such processing...and new design strategies for filters in applications using spatial and frequency design constraints.\" (SciTech Book News Vol. 25, No. 2 June 2001)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eContents.\u003cbr\u003e \u003cbr\u003e Preface.\u003cbr\u003e \u003cbr\u003e Introduction.\u003cbr\u003e \u003cbr\u003e Multidimensional Signals and Systems.\u003cbr\u003e \u003cbr\u003e Spatio-Temporal Scanning of Multidimensional Signals.\u003cbr\u003e \u003cbr\u003e Discrete Signals and Linear Systems.\u003cbr\u003e \u003cbr\u003e Elementary Filter Structures and the z-Tranform.\u003cbr\u003e \u003cbr\u003e Discrete Fourier Transform.\u003cbr\u003e \u003cbr\u003e Design of IIR Filters.\u003cbr\u003e \u003cbr\u003e Characteristics and Design of FIR Filters.\u003cbr\u003e \u003cbr\u003e Characteristics and Design of 2D FIR Filters for Video Signal Processing.\u003cbr\u003e \u003cbr\u003e Operators for Image Processing.\u003cbr\u003e \u003cbr\u003e Rank Order Filters.\u003cbr\u003e \u003cbr\u003e Bibliography.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402675790167,"sku":"9780471805410","price":168.26,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471805410.jpg?v=1730481196"},{"product_id":"random-signals-9780471815556","title":"Random Signals","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eRandom Signals, Noise and Filtering develops the theory of random processes and its application to the study of systems and analysis of random data. The text covers three important areas: (1) fundamentals and examples of random process models, (2) applications of probabilistic models: signal detection, and filtering, and (3) statistical estimation--measurement and analysis of random data to determine the structure and parameter values of probabilistic models. This volume by Breipohl and Shanmugan offers the only one-volume treatment of the fundamentals of random process models, their applications, and data analysis.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface and Introduction.\u003cbr\u003e \u003cbr\u003e Review of Probability and Random Variables.\u003cbr\u003e \u003cbr\u003e Random Processes and Sequences.\u003cbr\u003e \u003cbr\u003e Response of Systems to Random Inputs.\u003cbr\u003e \u003cbr\u003e Special Classes of Random Processes.\u003cbr\u003e \u003cbr\u003e Signal Detection.\u003cbr\u003e \u003cbr\u003e Linear Minimum MSE Filtering.\u003cbr\u003e \u003cbr\u003e Statistics.\u003cbr\u003e \u003cbr\u003e Estimating Parameters of Random Processes from Data.\u003cbr\u003e \u003cbr\u003e Appendices.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402676478295,"sku":"9780471815556","price":226.76,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471815556.jpg?v=1730481199"},{"product_id":"synthetic-aperture-radar-9780471857709","title":"Synthetic Aperture Radar","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe use of synthetic aperture radar (SAR) represents a new era in remote sensing technology. A complete handbook for anyone who must design an SAR system capable of reliably producing high quality image data products, free from image artifacts and calibrated in terms of the target backscatter coefficient. Combines fundamentals underlying the SAR imaging process and the practical system engineering required to produce quality images from a real SAR system. Beginning with a broad overview of SAR technology, it goes on to examine SAR system capabilities and components and detail the techniques required for design and development of the SAR ground data system with emphasis on the correlation processing. Intended for SAR system engineers and researchers, it is generously illustrated for maximum clarity.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eThe Radar Equation.\u003cbr\u003e \u003cbr\u003e The Matched Filter and Pulse Compression.\u003cbr\u003e \u003cbr\u003e Imaging and the Rectangular Algorithm.\u003cbr\u003e \u003cbr\u003e Ancillary Processes in Image Formation.\u003cbr\u003e \u003cbr\u003e SAR Flight System.\u003cbr\u003e \u003cbr\u003e Radiometric Calibration of SAR Data.\u003cbr\u003e \u003cbr\u003e Geometric Calibration of SAR Data.\u003cbr\u003e \u003cbr\u003e The SAR Ground System.\u003cbr\u003e \u003cbr\u003e Other Imaging Algorithms.\u003cbr\u003e \u003cbr\u003e Appendices.\u003cbr\u003e \u003cbr\u003e List of Acronyms.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402679460183,"sku":"9780471857709","price":211.46,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471857709.jpg?v=1730481208"},{"product_id":"architectures-for-digital-signal-processing-9780471971450","title":"Architectures for Digital Signal Processing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eDigital signal processing (DSP) covers a wide range of applications such as signal acquisition, analysis, transmission, storage, and synthesis. Special attention is needed for the VLSI (very large scale integration) implementation of high performance DSP systems with examples from video and radar applications.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eBasic CMOS Circuits.\u003cbr\u003e \u003cbr\u003e Implementation of Fundamental Operations.\u003cbr\u003e \u003cbr\u003e Measures for Increasing Performance.\u003cbr\u003e \u003cbr\u003e Array Processor Architectures.\u003cbr\u003e \u003cbr\u003e Filter Structures.\u003cbr\u003e \u003cbr\u003e Implementations of the Discrete Fourier Transform.\u003cbr\u003e \u003cbr\u003e Programmable Digital Signal Processors.\u003cbr\u003e \u003cbr\u003e Multiprocessor Systems.\u003cbr\u003e \u003cbr\u003e Implementation Strategies.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402701644119,"sku":"9780471971450","price":170.96,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471971450.jpg?v=1730481279"},{"product_id":"signal-analysis-9780471986263","title":"Signal Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eSignal analysis gives an insight into the properties of signals and stochastic processes by methodology. Linear transforms are integral to the continuing growth of signal processes as they characterize and classify signals. In particular, those transforms that provide time-frequency signal analysis are attracting greater numbers of researchers and are becoming an area of considerable importance. The key characteristic of these transforms, along with a certain time-frequency localization called the wavelet transform and various types of multirate filter banks, is their high computational efficiency. It is this computational efficiently which accounts for their increased application. This book provides a complete overview and introduction to signal analysis. It presents classical and modern signal analysis methods in a sequential structure starting with the background to signal theory. Progressing through the book the author introduces more advanced topics in an easy to understand style.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"...excellent and interesting reading for digital signal processing engineers and designers and for postgraduate students in electrical and computer faculties.\" (Mathematical Reviews, 2002d)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSignals and Signal Spaces.\u003cbr\u003e \u003cbr\u003e Integral Signal Representations.\u003cbr\u003e \u003cbr\u003e Discrete Signal Representations.\u003cbr\u003e \u003cbr\u003e Examples of Discrete Transforms.\u003cbr\u003e \u003cbr\u003e Transforms and Filters for Stochastic Processes.\u003cbr\u003e \u003cbr\u003e Filter Banks.\u003cbr\u003e \u003cbr\u003e Short-Time Fourier Analysis.\u003cbr\u003e \u003cbr\u003e Wavelet Transform.\u003cbr\u003e \u003cbr\u003e Non-Linear Time-Frequency Distributions.\u003cbr\u003e \u003cbr\u003e Bibliography.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402709606743,"sku":"9780471986263","price":181.76,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471986263.jpg?v=1730481301"},{"product_id":"digital-systems-design-vhl-synthesis-an-integrated-approach-19-9780769500232","title":"Digital Systems Design VHL Synthesis An","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"IEEE Computer Society Press,U.S.","offers":[{"title":"Default Title","offer_id":49404889301335,"sku":"9780769500232","price":105.26,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780769500232.jpg?v=1730487953"},{"product_id":"time-frequency-and-wavelets-in-biomedical-signal-processing-9780780311473","title":"Time Frequency and Wavelets in Biomedical Signal","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eBrimming with top articles from experts in signal processing and biomedical engineering, Time Frequency and Wavelets in Biomedical Signal Processing introduces time--frequency, time--scale, wavelet transform methods, and their applications in biomedical signal processing.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eList of Contributors.  \u003cp\u003ePreface.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTIME-FREQUENCY ANALYSIS METHODS WITH BIOMEDICAL APPLICATIONS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRecent Advances in Time-Frequency Representations: SomeTheoretical Foundation (\u003ci\u003eW. Williams\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eBiological Applications and Interpretations of Time-Frequency Signal Analysis (\u003ci\u003eW. Williams\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eThe Application of Advanced Time-Frequency Analysis Techniques to Doppler Ultrasound (\u003ci\u003eS. Marple, et al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eAnalysis of ECG Late Potentials Using Time-Frequency Methods (\u003ci\u003eH. Dickhaus \u0026amp; H. Heinrich\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eTime-Frequency Distributions Applied to Uterine EMG: Characterization and Assessment (\u003ci\u003eJ. Duchene \u0026amp; D. Devedeux\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eTime-Frequency Analyses of the Electrogastrogram (\u003ci\u003eZ. Lin and J. Chen\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eRecent Advances in Time-Frequency and Time-Scale Methods (\u003ci\u003eC. Mello \u0026amp; M. Akay\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003eWAVELETS, WAVELET PACKETS, AND MATCHING PURSUITS WITH BIOMEDICAL APPLICATIONS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFast Algorithms for Wavelet Transform Computation (\u003ci\u003eO. Rioul \u0026amp; P. Duhamel\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eAnalysis of Cellular Vibrations in the Living Cochlea Using the Continuous Wavelet Transform and the Short-Time Fourier Transform (\u003ci\u003eM. Teich, et al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eAlterative Processing Method Using Gabor Wavelets and the Wavelet Transform for the Analysis of Phonocardiogram Signals (\u003ci\u003eM. Matalgah, et al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eWavelet Feature Extraction from Neurophysiological Signals (\u003ci\u003eM. Sun \u0026amp; R. Sclabassi\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eExperiments with Adapted Wavelet De-Noising for Medical Signals and Images (\u003ci\u003eR. Coifman \u0026amp; M. Wickerhauser\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eSpeech Enhancement for Hearing Aids (\u003ci\u003eJ. Rutledg\u003c\/i\u003ee).\u003c\/p\u003e \u003cp\u003eFrom Continuous Wavelet Transform to Wavelet Packets: Application to the Estimation of Pulmonary Microvascular Pressure (\u003ci\u003eM. Karrakchou \u0026amp; M. Kunt\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eIn Pursuit of Time-Frequency Representation of Brain Signals (\u003ci\u003eP. Durka \u0026amp; K. Blinowska\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eEEG Spike Directors Based on Different Decompositions: A Comparative Study (\u003ci\u003eL. Senhadji, et al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003eWAVELETS AND MEDICAL IMAGING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA Discrete Dyadic Wavelet Transform for Multidimensional Feature Analysis (\u003ci\u003eI. Koren \u0026amp; A. Laine\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eHexagonal QMF Banks and Wavelets (\u003ci\u003eS. Schuler \u0026amp; A. Laine\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eInversion of the Radon Transform under Wavelet Constraints (\u003ci\u003eB. Sahiner \u0026amp; A. Yagle\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eWavelets Applied to Mammograms (\u003ci\u003eW. Richardson\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eHybrid Wavelet Transform for Image Enhancement forComputer-Assisted Diagnosis and Telemedicine Applications (\u003ci\u003eL. Clarke, et al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eMedical Image Enhancement Using Wavelet Transform and Arithmetic Coding (\u003ci\u003eP. Saipetch, et al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eAdapted Wavelet Encoding in Functional Magnetic Resonance Imaging (\u003ci\u003eD. Healy, et al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eA Tutorial Overview of a Stabilization Algorithm for Limited-Angle Tomography (\u003ci\u003eT. Olson\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eWavelet Compression of Medical Images (\u003ci\u003eA. Manduca\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003eWAVELETS, NEURAL NETWORKS, AND FRACTALS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSingle Side Scaling Wavelet Frame and Neural Network (\u003ci\u003eQ. Zhang\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eAnalysis of Evoked Potentials Using Wavelet Networks (\u003ci\u003eH. Heinrich \u0026amp; H. Dickhaus\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eSelf-Organizing Wavelet-Based Neural Networks (\u003ci\u003eK. Kobayashi\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eOn Wavelets and Fractal Processes (\u003ci\u003eP. Flandrin\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eFractal Analysis of Heart Rate Variability (\u003ci\u003eR. Fischer \u0026amp; M. Akay\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e \u003cp\u003eEditor's Biography.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49404989473111,"sku":"9780780311473","price":209.66,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780780311473.jpg?v=1730488294"},{"product_id":"principles-of-magnetic-resonance-imaging-9780780347236","title":"Principles of Magnetic Resonance Imaging","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003ePrinciples of Magnetic Resonance Imaging\u003c\/b\u003e \u003cp\u003e\u003ci\u003eBiomedical\/Electrical Engineering\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003ePrinciples of Magnetic Resonance Imaging\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eA Signal Processing Perspective \u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e A volume in the IEEE Press Series in Biomedical Engineering\u003cbr\u003eMetin Akay. \u003ci\u003eSeries Editor\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e Since its inception in 1971. MRI has developed into a premier tool for anatomical and runaional imaging. \u003ci\u003ePrin??ples ofMagne??c Resonance Imaging\u003c\/i\u003e provides a clear and comprehensive treatment of MR image formation principles from a signal processing perspective. You will find discussion of these essential topics: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eMathematical fundamentals\u003c\/li\u003e \u003cli\u003eSignal generation and detection principles\u003c\/li\u003e \u003cli\u003eSignal characteristics\u003c\/li\u003e \u003cli\u003eSignal localization principles\u003c\/li\u003e \u003cli\u003eImage reconstruction techniques\u003c\/li\u003e \u003cli\u003eImage contrast mechanisms\u003c\/li\u003e \u003cli\u003eImage resolution. noise, and artifacts\u003c\/li\u003e \u003cli\u003eFast-scan imaging\u003c\/li\u003e \u003cli\u003eConstrained reconstruction\u003c\/li\u003e \u003cli\u003eSpatial information encoding\u003c\/li\u003e\n\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface.\u003cbr\u003e \u003cbr\u003e Acknowledgments.\u003cbr\u003e \u003cbr\u003e Introduction.\u003cbr\u003e \u003cbr\u003e Mathematical Fundamentals.\u003cbr\u003e \u003cbr\u003e Signal Generation and Detection.\u003cbr\u003e \u003cbr\u003e Signal Characteristics.\u003cbr\u003e \u003cbr\u003e Signal Localization.\u003cbr\u003e \u003cbr\u003e Image Reconstruction.\u003cbr\u003e \u003cbr\u003e Image Contrast.\u003cbr\u003e \u003cbr\u003e Image Resolution, Noise, and Artifacts.\u003cbr\u003e \u003cbr\u003e Fast-Scan Imaging.\u003cbr\u003e \u003cbr\u003e Constrained Reconstruction.\u003cbr\u003e \u003cbr\u003e Appendix A: Mathematical Formulas.\u003cbr\u003e \u003cbr\u003e Appendix B: Glossary.\u003cbr\u003e \u003cbr\u003e Appendix C: Abbreviations.\u003cbr\u003e \u003cbr\u003e Appendix D: Mathematical Symbols.\u003cbr\u003e \u003cbr\u003e Appendix E: Physical Constants.\u003cbr\u003e \u003cbr\u003e Bibliography.\u003cbr\u003e \u003cbr\u003e Index.\u003cbr\u003e \u003cbr\u003e About the Authors.\u003c\/ul\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49404990554455,"sku":"9780780347236","price":143.06,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780780347236.jpg?v=1730488299"},{"product_id":"advances-in-image-understanding-9780818676444","title":"Advances in Image Understanding","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"I.E.E.E.Press","offers":[{"title":"Default Title","offer_id":49405983686999,"sku":"9780818676444","price":65.66,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780818676444.jpg?v=1730494138"},{"product_id":"digital-image-warping-9780818689444","title":"Digital Image Warping","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"IEEE Computer Society Press,U.S.","offers":[{"title":"Default Title","offer_id":49405984932183,"sku":"9780818689444","price":95.36,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780818689444.jpg?v=1730494142"},{"product_id":"advanced-image-processing-in-magnetic-resonance-imaging-9780824725426","title":"Advanced Image Processing in Magnetic Resonance","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThe popularity of magnetic resonance (MR) imaging in medicine is no mystery: it is non-invasive, it produces high quality structural and functional image data, and it is very versatile and flexible. Research into MR technology is advancing at a blistering pace, and modern engineers must keep up with the latest developments. This is only possible with a firm grounding in the basic principles of MR, and Advanced Image Processing in Magnetic Resonance Imaging solidly integrates this foundational knowledge with the latest advances in the field.\u003cbr\u003e\u003cbr\u003eBeginning with the basics of signal and image generation and reconstruction, the book covers in detail the signal processing techniques and algorithms, filtering techniques for MR images, quantitative analysis including image registration and integration of EEG and MEG techniques with MR, and MR spectroscopy techniques. The final section of the book explores functional MRI (fMRI) in detail, discussing fundamentals and advanced exploratory \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSignal and Image Generation and Reconstruction. SNR Improvement and Inhomogeneities Correction. Image Processing and Quantitative Analysis. Spectroscopy, Diffusion, and Elasticity: From Modeling to Parametric Image Generation. BOLD Contrast MR Imaging and fMRI Signal Analysis. Index.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":49406176002391,"sku":"9780824725426","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"control-of-color-imaging-systems-9780849337468","title":"Control of Color Imaging Systems","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eA Complete One-Stop Resource\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eWhile digital color is now the technology of choice for printers, the knowledge required to address the quality and productivity issues of these devices is scattered across several technologies, as is its supporting literature. \u003c\/p\u003e\u003cp\u003eBringing together information from diverse fields, \u003cstrong\u003eControl of Color Imaging Systems: Analysis and Design\u003c\/strong\u003e is the first book to provide comprehensive coverage of the fundamentals and algorithms of the numerous disciplines associated with digital color printing in a single resource. The authors review the history of digital printing systems, explore its current status, and explain fundamental concepts, including: digital image formation, sampling, quantization, image coding, spot color calibration, and one- and multi-dimensional tone control of color management systems â including process physics and controls.\u003c\/p\u003e\u003cp\u003e\u003cem\u003e\u003cstrong\u003eA Complete Self-Tutorial With Over 150 Design Examples and 1\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\"... brings together the technical fields of imaging systems and feedback control systems in a self-contained manner. ... an excellent addition to the literature on the analysis and design of color-imaging systems. It should be recommended to anyone who wants to become familiar with state-of-the-art techniques in these areas.\"\u003cbr\u003e-- Daniel Viassolo, Vestas Technology R\u0026amp;D, Power Plant Department, Houston, Texas\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface. Acknowledgments. An Overview of Digital Printing Systems. Fundamentals of Digital Image Processing. Mathematical Foundations. State-Variable Representation. Closed-Loop System Analysis and Design. Interpolation of Multidimensional Functions. Three-Dimensional Control of Color Management Systems. One-Dimensional, Two-Dimensional, and Spot-Color. Management and Control Methods. Internal Process Controls. Printing System Models. Appendices (A-C). Index.\u003c\/p\u003e\u003c\/strong\u003e\u003c\/em\u003e\u003c\/p\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":49406222532951,"sku":"9780849337468","price":180.5,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780849337468.jpg?v=1730494990"},{"product_id":"an-introduction-to-the-theory-of-random-signals-and-noise-9780879422356","title":"An Introduction to the Theory of Random Signals","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis bible of a whole generation of communications engineers was originally published in 1958. The focus is on the statistical theory underlying the study of signals and noises in communications systems, emphasizing techniques as well s results. End of chapter problems are provided.\u003cbr\u003e \u003cbr\u003e Sponsored by:\u003cbr\u003e IEEE Communications Society\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface to the IEEE Press Edition.\u003cbr\u003e \u003cbr\u003e Preface.\u003cbr\u003e \u003cbr\u003e Errata.\u003cbr\u003e \u003cbr\u003e Introduction.\u003cbr\u003e \u003cbr\u003e Probability.\u003cbr\u003e \u003cbr\u003e Random Variables and Probability Distributions.\u003cbr\u003e \u003cbr\u003e Averages.\u003cbr\u003e \u003cbr\u003e Sampling.\u003cbr\u003e \u003cbr\u003e Spectral Analysis.\u003cbr\u003e \u003cbr\u003e Shot Noise.\u003cbr\u003e \u003cbr\u003e The Gaussian Process.\u003cbr\u003e \u003cbr\u003e Linear Systems.\u003cbr\u003e \u003cbr\u003e Noise Figures.\u003cbr\u003e \u003cbr\u003e Optimum Linear Systems.\u003cbr\u003e \u003cbr\u003e Nonlinear Devices: The Direct Method.\u003cbr\u003e \u003cbr\u003e Nonlinear Devices: The Transform Method.\u003cbr\u003e \u003cbr\u003e Statistical Detection Signals.\u003cbr\u003e \u003cbr\u003e Appendix 1: The Impulse Function.\u003cbr\u003e \u003cbr\u003e Appendix 2: Integral Equations.\u003cbr\u003e \u003cbr\u003e Bibliography.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49406439981399,"sku":"9780879422356","price":135.85,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780879422356.jpg?v=1730495817"},{"product_id":"mastering-solidworks-9781119300571","title":"Mastering SolidWorks","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe complete SolidWorks reference-tutorial for beginner to advanced techniques Mastering SolidWorks is the reference-tutorial for all users. Packed with step-by-step instructions, video tutorials for over 40 chapters, and coverage of little-known techniques, this book takes you from novice to power user with clear instruction that goes beyond the basics. Fundamental techniques are detailed with real-world examples for hands-on learning, and the companion website provides tutorial files for all exercises. Even veteran users will find value in new techniques that make familiar tasks faster, easier, and more organized, including advanced file management tools that simplify and streamline pre-flight checks.  SolidWorks is the leading 3D CAD program, and is an essential tool for engineers, mechanical designers, industrial designers, and drafters around the world. User friendly features such as drag-and-drop, point-and-click, and cut-and-paste tools belie the software's powerful capabilities\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction xxxiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Introducing SolidWorks Basics 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Introducing SolidWorks 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eInstalling SolidWorks for the First Time 3\u003c\/p\u003e \u003cp\u003eStarting SolidWorks for the First Time 6\u003c\/p\u003e \u003cp\u003eIdentifying SolidWorks Documents 9\u003c\/p\u003e \u003cp\u003eUnderstanding Feature-Based Modeling 15\u003c\/p\u003e \u003cp\u003eUnderstanding History-Based Modeling 16\u003c\/p\u003e \u003cp\u003eSketching with Parametrics 19\u003c\/p\u003e \u003cp\u003eUnderstanding Design Intent 21\u003c\/p\u003e \u003cp\u003eEditing Design Intent 21\u003c\/p\u003e \u003cp\u003eWorking with Associativity 24\u003c\/p\u003e \u003cp\u003eThe Bottom Line 24\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Navigating the SolidWorks Interface 25\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIdentifying Elements of the SolidWorks Interface 25\u003c\/p\u003e \u003cp\u003eMaking the Interface Work for You 47\u003c\/p\u003e \u003cp\u003eThe Bottom Line 59\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Working with Sketches and Reference Geometry .61\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCreating a New Part 61\u003c\/p\u003e \u003cp\u003eCreating a Sketch 62\u003c\/p\u003e \u003cp\u003eIdentifying Sketch Entities 64\u003c\/p\u003e \u003cp\u003eDriving Sketches with Smart Dimensions 83\u003c\/p\u003e \u003cp\u003eUsing Tools on the Dimensions\/Relations Toolbar 86\u003c\/p\u003e \u003cp\u003eInferencing in Sketch 89\u003c\/p\u003e \u003cp\u003eExploring Sketch Settings 90\u003c\/p\u003e \u003cp\u003eUsing Sketch Blocks 92\u003c\/p\u003e \u003cp\u003eWorking with Reference Geometry 93\u003c\/p\u003e \u003cp\u003eTutorial: Learning to Use Sketch Relations 98\u003c\/p\u003e \u003cp\u003eTutorial: Using Blocks and Belts 102\u003c\/p\u003e \u003cp\u003eTutorial: Creating Reference Geometry 105\u003c\/p\u003e \u003cp\u003eThe Bottom Line 109\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Creating Simple Parts and Drawings 111\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDiscovering Design Intent 111\u003c\/p\u003e \u003cp\u003eCreating a Simple Part 113\u003c\/p\u003e \u003cp\u003eCreating a Simple Assembly 125\u003c\/p\u003e \u003cp\u003eCreating a Simple Drawing 128\u003c\/p\u003e \u003cp\u003eThe Bottom Line 142\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Using Visualization Techniques 143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eManipulating the View 143\u003c\/p\u003e \u003cp\u003eUsing the View Tools 149\u003c\/p\u003e \u003cp\u003eUsing the DisplayManager 157\u003c\/p\u003e \u003cp\u003eThe Display Pane 173\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Building Intelligence into Your Parts 181\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Getting More from Your Sketches 183\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEditing Sketch Relations 183\u003c\/p\u003e \u003cp\u003eGetting More from Dimensions 189\u003c\/p\u003e \u003cp\u003eWorking with Sketch Entities 189\u003c\/p\u003e \u003cp\u003eUsing Sketch Pictures 193\u003c\/p\u003e \u003cp\u003eUsing Sketch Text 196\u003c\/p\u003e \u003cp\u003eUsing Colors and Line Styles with Sketches 198\u003c\/p\u003e \u003cp\u003eUsing Other Sketch Tools 199\u003c\/p\u003e \u003cp\u003eSketching in 3D 201\u003c\/p\u003e \u003cp\u003eTutorial: Editing and Copying 204\u003c\/p\u003e \u003cp\u003eTutorial: Controlling Pictures, Text, Colors, and Styles 208\u003c\/p\u003e \u003cp\u003eTutorial: Using Metadata 211\u003c\/p\u003e \u003cp\u003eTutorial: Sketching Calculator 212\u003c\/p\u003e \u003cp\u003eThe Bottom Line 214\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Modeling with Primary Features 217\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIdentifying When to Use Which Tool 217\u003c\/p\u003e \u003cp\u003eUnderstanding Fillet Types 231\u003c\/p\u003e \u003cp\u003eUsing Chamfers 253\u003c\/p\u003e \u003cp\u003eTutorial: Bracket Casting 256\u003c\/p\u003e \u003cp\u003eThe Bottom Line 260\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Selecting Secondary Features 261\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCreating Curve Features 261\u003c\/p\u003e \u003cp\u003eSelecting a Specialty Feature 267\u003c\/p\u003e \u003cp\u003eTutorial: Creating a Wire-Formed Part 280\u003c\/p\u003e \u003cp\u003eThe Bottom Line 282\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Patterning and Mirroring 283\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePatterning in a Sketch 283\u003c\/p\u003e \u003cp\u003eMirroring in a Sketch 289\u003c\/p\u003e \u003cp\u003eWorking with 3D Patterns 291\u003c\/p\u003e \u003cp\u003eUnderstanding Pattern Types 295\u003c\/p\u003e \u003cp\u003eCosmetic Patterns 307\u003c\/p\u003e \u003cp\u003eMirroring 3D Solids 308\u003c\/p\u003e \u003cp\u003eTutorial: Creating a Circular Pattern 310\u003c\/p\u003e \u003cp\u003eTutorial: Mirroring Features 311\u003c\/p\u003e \u003cp\u003eTutorial: Applying a Cosmetic Pattern 313\u003c\/p\u003e \u003cp\u003eThe Bottom Line 314\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Using Equations 317\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUnderstanding Equations 317\u003c\/p\u003e \u003cp\u003eUsing Global Variables 326\u003c\/p\u003e \u003cp\u003eUsing the Modify Box 327\u003c\/p\u003e \u003cp\u003eUsing Expressions 329\u003c\/p\u003e \u003cp\u003eControlling Suppression States of Features 329\u003c\/p\u003e \u003cp\u003eLinking to External Equations 330\u003c\/p\u003e \u003cp\u003eTutorial: Using Equations 330\u003c\/p\u003e \u003cp\u003eThe Bottom Line 333\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Working with Part Configurations 335\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing Design Tables 355\u003c\/p\u003e \u003cp\u003eCreating a Simple Design Table 357\u003c\/p\u003e \u003cp\u003eUsing the Configuration Publisher 364\u003c\/p\u003e \u003cp\u003eTutorial: Working with Configurations and Design Tables 365\u003c\/p\u003e \u003cp\u003eThe Bottom Line 368\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Editing, Evaluating, and Troubleshooting 371\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing Rollback 371\u003c\/p\u003e \u003cp\u003eReordering Features 378\u003c\/p\u003e \u003cp\u003eReordering Folders 379\u003c\/p\u003e \u003cp\u003eUsing the Flyout and Detachable FeatureManagers 380\u003c\/p\u003e \u003cp\u003eSummarizing Part Modeling Best Practices 383\u003c\/p\u003e \u003cp\u003eUsing Design for Change 385\u003c\/p\u003e \u003cp\u003eUsing Evaluation Techniques 387\u003c\/p\u003e \u003cp\u003eTroubleshooting Errors 397\u003c\/p\u003e \u003cp\u003eTutorial: Utilizing Editing and Evaluation Techniques 406\u003c\/p\u003e \u003cp\u003eThe Bottom Line 412\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Working with Assemblies 413\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Building Efficient Assemblies 415\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUnderstanding the Purpose of Assemblies 415\u003c\/p\u003e \u003cp\u003eIdentifying the Elements of an Assembly 423\u003c\/p\u003e \u003cp\u003eUsing SpeedPaks 432\u003c\/p\u003e \u003cp\u003eUsing Subassemblies 433\u003c\/p\u003e \u003cp\u003eUsing Folders 438\u003c\/p\u003e \u003cp\u003eWorking with Tree Display Options 440\u003c\/p\u003e \u003cp\u003eTutorial: Arranging Assemblies 443\u003c\/p\u003e \u003cp\u003eTutorial: Managing the FeatureManager 446\u003c\/p\u003e \u003cp\u003eThe Bottom Line 447\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Getting More from Mates 449\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eApplying Mates 449\u003c\/p\u003e \u003cp\u003eMating for Motion 459\u003c\/p\u003e \u003cp\u003eWorking with Advanced and Mechanical Mate Types 462\u003c\/p\u003e \u003cp\u003eEditing and Troubleshooting 471\u003c\/p\u003e \u003cp\u003eExamining Mate Options 474\u003c\/p\u003e \u003cp\u003eReviewing Mate Best Practices 475\u003c\/p\u003e \u003cp\u003eTutorial: Mating for Success 477\u003c\/p\u003e \u003cp\u003eThe Bottom Line 480\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15 Patterning and Mirroring Components 483\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eComponent Patterns 483\u003c\/p\u003e \u003cp\u003eUsing Local Component Patterns 484\u003c\/p\u003e \u003cp\u003eUsing Feature-Driven Component Patterns 491\u003c\/p\u003e \u003cp\u003eCreating a Chain Pattern 492\u003c\/p\u003e \u003cp\u003eUnderstanding Other Pattern Options 494\u003c\/p\u003e \u003cp\u003eTutorial: Creating Component Patterns 495\u003c\/p\u003e \u003cp\u003eThe Bottom Line 497\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16 Working with Assembly Sketches and Layouts 499\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLooking at the Techniques 499\u003c\/p\u003e \u003cp\u003eUsing the Layout Feature 505\u003c\/p\u003e \u003cp\u003eTutorial: Working with a Layout 507\u003c\/p\u003e \u003cp\u003eThe Bottom Line 513\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17 Using Assembly Tools 515\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePlacing Parts without Mates 515\u003c\/p\u003e \u003cp\u003eUsing Proximity Tools 520\u003c\/p\u003e \u003cp\u003eSelecting Components 528\u003c\/p\u003e \u003cp\u003eReading Assembly Performance Evaluation Results 532\u003c\/p\u003e \u003cp\u003eUsing Defeature 533\u003c\/p\u003e \u003cp\u003eUsing the Hole Alignment Tool 534\u003c\/p\u003e \u003cp\u003eThe Bottom Line 535\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 18 Using Libraries, Assembly Features, and Hole Wizard 537\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing Library Features 537\u003c\/p\u003e \u003cp\u003eCreating Library Features 543\u003c\/p\u003e \u003cp\u003eCreating Assembly Cuts 551\u003c\/p\u003e \u003cp\u003eMaking Fillets and Chamfers in Assemblies 554\u003c\/p\u003e \u003cp\u003eUsing the Hole Wizard 555\u003c\/p\u003e \u003cp\u003eCreating Weld Beads 558\u003c\/p\u003e \u003cp\u003eWorking with Envelopes 560\u003c\/p\u003e \u003cp\u003eUnderstanding Smart Components 562\u003c\/p\u003e \u003cp\u003eUsing Smart Components 563\u003c\/p\u003e \u003cp\u003eAuto-Sizing Smart Components 566\u003c\/p\u003e \u003cp\u003eMaking Smart Components 568\u003c\/p\u003e \u003cp\u003eTutorial: Working with Smart Components 576\u003c\/p\u003e \u003cp\u003eTutorial: Working with Library Features 579\u003c\/p\u003e \u003cp\u003eThe Bottom Line 586\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 19 Controlling Assembly Configurations and Display States 589\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing Display States 589\u003c\/p\u003e \u003cp\u003eUnderstanding Assembly Configurations 592\u003c\/p\u003e \u003cp\u003eTutorial: Working with Assembly Configurations 600\u003c\/p\u003e \u003cp\u003eThe Bottom Line 604\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 20 Modeling in Context 605\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUnderstanding In-Context Modeling 605\u003c\/p\u003e \u003cp\u003eDealing with the Practical Details of In-Context Modeling 615\u003c\/p\u003e \u003cp\u003eUsing Other Types of External References 630\u003c\/p\u003e \u003cp\u003eTutorial: Working In-Context 631\u003c\/p\u003e \u003cp\u003eThe Bottom Line 635\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 21 Editing, Evaluating, and Troubleshooting Assemblies 637\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWorking with Mates 637\u003c\/p\u003e \u003cp\u003eEditing File Management Issues 645\u003c\/p\u003e \u003cp\u003eEvaluating Assemblies 651\u003c\/p\u003e \u003cp\u003eThe Bottom Line 654\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 22 Working with Large Scale Design 657\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing Large Design Review 657\u003c\/p\u003e \u003cp\u003eCreating a Walk-Through 661\u003c\/p\u003e \u003cp\u003eCreating a GridSystem 663\u003c\/p\u003e \u003cp\u003eTransferring Data with the IFC File Type 667\u003c\/p\u003e \u003cp\u003eThe Bottom Line 668\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 23 Animating with the MotionManager 669\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFamiliarizing Yourself with the MotionManager 670\u003c\/p\u003e \u003cp\u003eUsing the Animation Wizard 674\u003c\/p\u003e \u003cp\u003eAnimating the View 683\u003c\/p\u003e \u003cp\u003eAnimating with Key Points 691\u003c\/p\u003e \u003cp\u003eAnimating with Basic Motion 696\u003c\/p\u003e \u003cp\u003eUsing the Mate Controller 700\u003c\/p\u003e \u003cp\u003eThe Bottom Line 702\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Creating Drawings 703\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 24 Automating Drawings: The Basics 705\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eComparing Templates and Formats 705\u003c\/p\u003e \u003cp\u003eCreating Drawing Templates 720\u003c\/p\u003e \u003cp\u003eCreating Blocks 725\u003c\/p\u003e \u003cp\u003eThe Bottom Line 726\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 25 Working with Drawing Views 727\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCreating Common View Types 727\u003c\/p\u003e \u003cp\u003eCreating Other View Types 740\u003c\/p\u003e \u003cp\u003eUsing Display Options in Views 751\u003c\/p\u003e \u003cp\u003eDistinguishing Views from Sheets 756\u003c\/p\u003e \u003cp\u003eTutorial: Working with View Types, Settings, and Options 756\u003c\/p\u003e \u003cp\u003eThe Bottom Line 762\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 26 Using Annotations and Symbols 765\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing Notes 765\u003c\/p\u003e \u003cp\u003eUsing Blocks in Drawings 775\u003c\/p\u003e \u003cp\u003eUsing Symbols 779\u003c\/p\u003e \u003cp\u003eUsing Center Marks and Centerlines 780\u003c\/p\u003e \u003cp\u003eTutorial: Using Annotations 782\u003c\/p\u003e \u003cp\u003eThe Bottom Line 784\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 27 Dimensioning and Tolerancing 787\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePutting Dimensions on Drawings 787\u003c\/p\u003e \u003cp\u003eAdding Tolerances 799\u003c\/p\u003e \u003cp\u003eUsing Dimension Styles 802\u003c\/p\u003e \u003cp\u003eAligning Dimensions and Annotations 802\u003c\/p\u003e \u003cp\u003eTutorial: Working with Dimensions and Tolerances 805\u003c\/p\u003e \u003cp\u003eThe Bottom Line 808\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 28 Using Layers, Line Fonts, and Colors 809\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eControlling Layers 809\u003c\/p\u003e \u003cp\u003eControlling Line Format 813\u003c\/p\u003e \u003cp\u003eHiding and Showing Edges 815\u003c\/p\u003e \u003cp\u003eTutorial: Using Drawing Display Tools 816\u003c\/p\u003e \u003cp\u003eThe Bottom Line 818\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 29 Working with Tables and Drawings 821\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDriving the Bill of Materials 821\u003c\/p\u003e \u003cp\u003eUsing Design Tables 830\u003c\/p\u003e \u003cp\u003ePlacing Hole Tables on Drawings 832\u003c\/p\u003e \u003cp\u003eUsing Revision Tables 834\u003c\/p\u003e \u003cp\u003eUsing General Tables 836\u003c\/p\u003e \u003cp\u003eWorking with Tables in Models 836\u003c\/p\u003e \u003cp\u003eTutorial: Using BOMs 837\u003c\/p\u003e \u003cp\u003eTutorial: Using Hole Tables 841\u003c\/p\u003e \u003cp\u003eTutorial: Using Revision Tables 843\u003c\/p\u003e \u003cp\u003eThe Bottom Line 844\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 30 Creating Assembly Drawings 845\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCombining Parts and Assemblies on the Same Drawing 845\u003c\/p\u003e \u003cp\u003eUsing Multi-Page Templates 847\u003c\/p\u003e \u003cp\u003eUsing Views with Special Assembly Functions 849\u003c\/p\u003e \u003cp\u003eUsing Color in Assembly Drawing Views 860\u003c\/p\u003e \u003cp\u003eSetting Up Drawings of Large Assemblies 861\u003c\/p\u003e \u003cp\u003eTutorial: Creating a Simple Assembly Drawing 866\u003c\/p\u003e \u003cp\u003eThe Bottom Line 869\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart V Using Advanced and Specialized Techniques 871\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 31 Modeling Multibodies 873\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing Powerful Tools Effectively 874\u003c\/p\u003e \u003cp\u003eUnderstanding Multibody Techniques 876\u003c\/p\u003e \u003cp\u003eManaging Bodies 897\u003c\/p\u003e \u003cp\u003eTutorials: Working with Multibodies 902\u003c\/p\u003e \u003cp\u003eThe Bottom Line 906\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 32 Working with Surfaces 907\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroducing Surfaces 907\u003c\/p\u003e \u003cp\u003eUnderstanding Surfacing Terminology 908\u003c\/p\u003e \u003cp\u003eSurfacing Tools 911\u003c\/p\u003e \u003cp\u003eTutorial: Working with Surfaces 926\u003c\/p\u003e \u003cp\u003eThe Bottom Line 933\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 33 Employing Master Model Techniques 935\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMaster Model Tools and Techniques 935\u003c\/p\u003e \u003cp\u003eUsing Pull Functions 937\u003c\/p\u003e \u003cp\u003eUsing Push Functions 940\u003c\/p\u003e \u003cp\u003eTutorial: Working with Master Model Techniques 943\u003c\/p\u003e \u003cp\u003eThe Bottom Line 947\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 34 Using SolidWorks Sheet Metal Tools 949\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing the Base Flange Features 949\u003c\/p\u003e \u003cp\u003eMaking Sheet Metal Parts from Generic Models 983\u003c\/p\u003e \u003cp\u003eUsing Other Methods 989\u003c\/p\u003e \u003cp\u003eUsing Multibody Techniques with Sheet Metal 991\u003c\/p\u003e \u003cp\u003eTutorial: Working with the Insert Bends Method for Sheet Metal Parts 992\u003c\/p\u003e \u003cp\u003eTutorial: Using the Base Flange Sheet Metal Method 995\u003c\/p\u003e \u003cp\u003eThe Bottom Line 999\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 35 Creating Sheet Metal Drawings 1005\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMaking Sheet Metal Drawings 1005\u003c\/p\u003e \u003cp\u003eGetting the Flat Pattern 1006\u003c\/p\u003e \u003cp\u003eMaking Drawings of Multibody Sheet Metal Parts 1012\u003c\/p\u003e \u003cp\u003eThe Bottom Line 1015\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 36 Creating Weldments and Weldment Drawings 1017\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSketching in 3D 1017\u003c\/p\u003e \u003cp\u003eUsing the Weldment Tools 1022\u003c\/p\u003e \u003cp\u003eUsing Nonstructural Components 1032\u003c\/p\u003e \u003cp\u003eUsing Sub-Weldments 1032\u003c\/p\u003e \u003cp\u003eWorking with Cut Lists 1033\u003c\/p\u003e \u003cp\u003eCreating Weldment Drawings 1038\u003c\/p\u003e \u003cp\u003eTutorial: Working with Weldments 1040\u003c\/p\u003e \u003cp\u003eThe Bottom Line 1046\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 37 Using Imported Geometry and Direct-Editing Techniques 1049\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUnderstanding the Basics of Imported Geometry 1049\u003c\/p\u003e \u003cp\u003eUnderstanding the Traditional Role of Direct Editing Tools 1060\u003c\/p\u003e \u003cp\u003eUnderstanding the Strengths and Limitations of Direct\u003c\/p\u003e \u003cp\u003eUsing SolidWorks Direct Editing Tools 1062\u003c\/p\u003e \u003cp\u003eTutorial: Importing and Repairing Solid Geometry 1067\u003c\/p\u003e \u003cp\u003eTutorial: Flex and Freeform 1069\u003c\/p\u003e \u003cp\u003eThe Bottom Line 1072\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 38 Using Plastic Features 1073\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing Plastic Features 1073\u003c\/p\u003e \u003cp\u003eUsing Plastic Evaluation Tools 1093\u003c\/p\u003e \u003cp\u003eThe Bottom Line 1102\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 39 Using Mold Tools 1107\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWorking with the Mold Tools Process 1107\u003c\/p\u003e \u003cp\u003eWorking Manually with Mold Tools 1122\u003c\/p\u003e \u003cp\u003eThe Bottom Line 1124\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendixes 1127\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix A The Bottom Line 1127\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1: Introducing SolidWorks 1127\u003c\/p\u003e \u003cp\u003eChapter 2: Navigating the SolidWorks Interface 1127\u003c\/p\u003e \u003cp\u003eChapter 3: Working with Sketches and Reference Geometry 1128\u003c\/p\u003e \u003cp\u003eChapter 4: Creating Simple Parts and Drawings 1129\u003c\/p\u003e \u003cp\u003eChapter 5: Using Visualization Techniques 1130\u003c\/p\u003e \u003cp\u003eChapter 6: Getting More from Your Sketches 1130\u003c\/p\u003e \u003cp\u003eChapter 7: Modeling with Primary Features 1131\u003c\/p\u003e \u003cp\u003eChapter 8: Selecting Secondary Features 1132\u003c\/p\u003e \u003cp\u003eChapter 9: Patterning and Mirroring 1133\u003c\/p\u003e \u003cp\u003eChapter 10: Using Equations 1134\u003c\/p\u003e \u003cp\u003eChapter 11: Working with Part Configurations 1135\u003c\/p\u003e \u003cp\u003eChapter 12: Editing, Evaluating, and Troubleshooting 1135\u003c\/p\u003e \u003cp\u003eChapter 13: Building Efficient Assemblies 1136\u003c\/p\u003e \u003cp\u003eChapter 14: Getting More from Mates 1137\u003c\/p\u003e \u003cp\u003eChapter 15: Patterning and Mirroring Components 1138\u003c\/p\u003e \u003cp\u003eChapter 16: Working with Assembly Sketches and Layouts 1139\u003c\/p\u003e \u003cp\u003eChapter 17: Using Assembly Tools 1140\u003c\/p\u003e \u003cp\u003eChapter 18: Using Libraries, Assembly Features, and Hole Wizard 1141\u003c\/p\u003e \u003cp\u003eChapter 19: Controlling Assembly Configurations and Display States 1142\u003c\/p\u003e \u003cp\u003eChapter 20: Modeling in Context 1143\u003c\/p\u003e \u003cp\u003eChapter 21: Editing, Evaluating, and Troubleshooting Assemblies 1143\u003c\/p\u003e \u003cp\u003eChapter 22: Working with Large Scale Design 1144\u003c\/p\u003e \u003cp\u003eChapter 23: Animating with the MotionManager 1145\u003c\/p\u003e \u003cp\u003eChapter 24: Automating Drawings: The Basics 1145\u003c\/p\u003e \u003cp\u003eChapter 25: Working with Drawing Views 1146\u003c\/p\u003e \u003cp\u003eChapter 26: Using Annotations and Symbols 1147\u003c\/p\u003e \u003cp\u003eChapter 27: Dimensioning and Tolerancing 1148\u003c\/p\u003e \u003cp\u003eChapter 28: Using Layers, Line Fonts, and Colors 1149\u003c\/p\u003e \u003cp\u003eChapter 29: Working with Tables and Drawings 1150\u003c\/p\u003e \u003cp\u003eChapter 30: Creating Assembly Drawings 1150\u003c\/p\u003e \u003cp\u003eChapter 31: Modeling Multibodies 1151\u003c\/p\u003e \u003cp\u003eChapter 32: Working with Surfaces 1152\u003c\/p\u003e \u003cp\u003eChapter 33: Employing Master Model Techniques 1153\u003c\/p\u003e \u003cp\u003eChapter 34: Using SolidWorks Sheet Metal Tools 1155\u003c\/p\u003e \u003cp\u003eChapter 35: Creating Sheet Metal Drawings 1159\u003c\/p\u003e \u003cp\u003eChapter 36: Creating Weldments and Weldment Drawings 1160\u003c\/p\u003e \u003cp\u003eChapter 37: Using Imported Geometry and Direct-Editing Techniques 1161\u003c\/p\u003e \u003cp\u003eChapter 38: Using Plastic Features 1162\u003c\/p\u003e \u003cp\u003eChapter 39: Using Mold Tools 1165\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix B Finding Help 1169\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSolidWorks Help 1169\u003c\/p\u003e \u003cp\u003eSolidWorks Website 1170\u003c\/p\u003e \u003cp\u003eCustomer Portal 1170\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix C What’s on the Website 1175\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSystem Requirements 1175\u003c\/p\u003e \u003cp\u003eCustomer Care 1176\u003c\/p\u003e \u003cp\u003eIndex 1177\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407030952279,"sku":"9781119300571","price":46.4,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119300571.jpg?v=1730497936"},{"product_id":"adobe-photoshop-cc-for-dummies-9781119711773","title":"Adobe Photoshop CC For Dummies","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eIntroduction\u003c\/b\u003e\u003cb\u003e 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAbout This Book 1\u003c\/p\u003e \u003cp\u003eConventions Used in This Book 2\u003c\/p\u003e \u003cp\u003eIcons Used in This Book 3\u003c\/p\u003e \u003cp\u003eHow to Use This Book 3\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1: Getting Started with Photoshop CC 5\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1: An Overview of Photoshop \u003c\/b\u003e\u003cb\u003e7\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExploring Adobe Photoshop 7\u003c\/p\u003e \u003cp\u003eWhat Photoshop is designed to do 8\u003c\/p\u003e \u003cp\u003eOther things you can do with Photoshop 9\u003c\/p\u003e \u003cp\u003eViewing Photoshop’s Parts and Processes 10\u003c\/p\u003e \u003cp\u003eReviewing basic computer operations 10\u003c\/p\u003e \u003cp\u003ePhotoshop’s incredible selective Undo 12\u003c\/p\u003e \u003cp\u003eInstalling Photoshop: Need to know 14\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2: Knowing Just Enough about Digital Images\u003c\/b\u003e\u003cb\u003e 17\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Exactly is a Digital Image? 18\u003c\/p\u003e \u003cp\u003eThe True Nature of Pixels 18\u003c\/p\u003e \u003cp\u003eHow Many Pixels Can Dance on the Head of a Pin? 21\u003c\/p\u003e \u003cp\u003eResolution revelations 21\u003c\/p\u003e \u003cp\u003eResolving image resolution 22\u003c\/p\u003e \u003cp\u003eFile Formats: Which Do You Need? 30\u003c\/p\u003e \u003cp\u003eFormats for digital photos 31\u003c\/p\u003e \u003cp\u003eFormats for web graphics 33\u003c\/p\u003e \u003cp\u003eFormats for commercial printing 34\u003c\/p\u003e \u003cp\u003eFormats for PowerPoint and Word 36\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3: Taking the Chef’s Tour of Your Photoshop Kitchen\u003c\/b\u003e\u003cb\u003e 37\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFood for Thought: How Things Work 38\u003c\/p\u003e \u003cp\u003eOrdering from the menus 39\u003c\/p\u003e \u003cp\u003eYour platter full of panels 40\u003c\/p\u003e \u003cp\u003eThe tools of your trade 42\u003c\/p\u003e \u003cp\u003eGet Cookin’ with Customization 44\u003c\/p\u003e \u003cp\u003eClearing the table: Custom workspaces 44\u003c\/p\u003e \u003cp\u003eSpoons can’t chop: Creating tool presets 47\u003c\/p\u003e \u003cp\u003eSeason to Taste: The Photoshop Settings 48\u003c\/p\u003e \u003cp\u003eStanding orders: Setting the Preferences 48\u003c\/p\u003e \u003cp\u003eEnsuring consistency: Color Settings 55\u003c\/p\u003e \u003cp\u003eWhen Good Programs Go Bad: Fixing Photoshop 57\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4: From Pics to Prints: Photoshop for Beginners\u003c\/b\u003e\u003cb\u003e 59\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBringing Images into Photoshop 59\u003c\/p\u003e \u003cp\u003eDownloading from your digital camera 60\u003c\/p\u003e \u003cp\u003eScanning prints 61\u003c\/p\u003e \u003cp\u003eKeeping Your Images Organized 66\u003c\/p\u003e \u003cp\u003eCreating a folder structure 66\u003c\/p\u003e \u003cp\u003eUsing Adobe Bridge 67\u003c\/p\u003e \u003cp\u003eRenaming image files easily 69\u003c\/p\u003e \u003cp\u003ePrinting Your Images 71\u003c\/p\u003e \u003cp\u003eCropping to a specific aspect ratio 71\u003c\/p\u003e \u003cp\u003eRemembering resolution 73\u003c\/p\u003e \u003cp\u003eControlling color using File ➪ Print 74\u003c\/p\u003e \u003cp\u003eConsidering color management solutions 75\u003c\/p\u003e \u003cp\u003ePrinting alternatives 76\u003c\/p\u003e \u003cp\u003eSharing Your Images 77\u003c\/p\u003e \u003cp\u003eEmailing and AirDropping your images 78\u003c\/p\u003e \u003cp\u003eCreating PDFs and websites 78\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2: Easy Enhancements for Digital Images 79\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5: Making Tonality and Color Look Natural\u003c\/b\u003e\u003cb\u003e 81\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAdjusting Tonality to Make Your Images Pop 82\u003c\/p\u003e \u003cp\u003eHistograms Simplified 82\u003c\/p\u003e \u003cp\u003eUsing Photoshop’s Auto Corrections 84\u003c\/p\u003e \u003cp\u003eLevels and Curves and You 85\u003c\/p\u003e \u003cp\u003eLevel-headed you! 86\u003c\/p\u003e \u003cp\u003eTonal corrections with the eyedroppers 89\u003c\/p\u003e \u003cp\u003eAdjusting your curves without dieting 90\u003c\/p\u003e \u003cp\u003eGrabbing Even More Control 92\u003c\/p\u003e \u003cp\u003eUsing Shadows\/Highlights 93\u003c\/p\u003e \u003cp\u003eChanging exposure after the fact 96\u003c\/p\u003e \u003cp\u003eUsing Photoshop’s toning tools 96\u003c\/p\u003e \u003cp\u003eWhat is Color in Photoshop? 97\u003c\/p\u003e \u003cp\u003eWhich color mode should you choose? 98\u003c\/p\u003e \u003cp\u003eDoes a color model make a difference? 101\u003c\/p\u003e \u003cp\u003eWhy should you worry about color depth? 102\u003c\/p\u003e \u003cp\u003eMaking Color Adjustments in Photoshop 104\u003c\/p\u003e \u003cp\u003eChoosing color adjustment commands 106\u003c\/p\u003e \u003cp\u003eManual corrections in individual channels 117\u003c\/p\u003e \u003cp\u003eThe People Factor: Flesh Tone Formulas 118\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6: The Adobe Camera Raw Plug-In\u003c\/b\u003e\u003cb\u003e 121\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUnderstanding the Raw Facts 121\u003c\/p\u003e \u003cp\u003eWhat’s the big deal about Raw? 123\u003c\/p\u003e \u003cp\u003eWorking in Raw 124\u003c\/p\u003e \u003cp\u003eThe Camera Raw Interface 126\u003c\/p\u003e \u003cp\u003eCamera Raw’s Tools and buttons 126\u003c\/p\u003e \u003cp\u003eThe histogram 132\u003c\/p\u003e \u003cp\u003eThe preview area 132\u003c\/p\u003e \u003cp\u003eWorkflow Options and presets 133\u003c\/p\u003e \u003cp\u003eMaking Adjustments in Camera Raw’s Edit Panel 134\u003c\/p\u003e \u003cp\u003eThe Basic section 134\u003c\/p\u003e \u003cp\u003eThe Curve section 137\u003c\/p\u003e \u003cp\u003eThe Detail section 137\u003c\/p\u003e \u003cp\u003eThe Color Mixer section 138\u003c\/p\u003e \u003cp\u003eThe Color Grading section 138\u003c\/p\u003e \u003cp\u003eThe Optics and Geometry sections 140\u003c\/p\u003e \u003cp\u003eThe Effects section 141\u003c\/p\u003e \u003cp\u003eThe Calibration section 141\u003c\/p\u003e \u003cp\u003eThe Camera Raw Cancel, Done, and Open buttons 142\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7: Fine-Tuning Your Fixes\u003c\/b\u003e\u003cb\u003e 143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is a Selection? 144\u003c\/p\u003e \u003cp\u003eFeathering and Anti-aliasing 146\u003c\/p\u003e \u003cp\u003eMaking Your Selections with Tools 148\u003c\/p\u003e \u003cp\u003eMarquee selection tools 148\u003c\/p\u003e \u003cp\u003eLasso selection tools 152\u003c\/p\u003e \u003cp\u003eThe Object Selection tool 153\u003c\/p\u003e \u003cp\u003eThe Quick Selection tool 153\u003c\/p\u003e \u003cp\u003eThe Magic Wand tool 154\u003c\/p\u003e \u003cp\u003eSelect and Mask 155\u003c\/p\u003e \u003cp\u003eYour Selection Commands 156\u003c\/p\u003e \u003cp\u003eThe primary selection commands 157\u003c\/p\u003e \u003cp\u003eThe Color Range command 158\u003c\/p\u003e \u003cp\u003eThe Focus Area command 159\u003c\/p\u003e \u003cp\u003eThe Select ➪ Subject command 160\u003c\/p\u003e \u003cp\u003eThe Select ➪ Sky command 161\u003c\/p\u003e \u003cp\u003eSelection modification commands 161\u003c\/p\u003e \u003cp\u003eTransforming the shape of selections 161\u003c\/p\u003e \u003cp\u003eEdit in Quick Mask mode 163\u003c\/p\u003e \u003cp\u003eThe mask-related selection commands 164\u003c\/p\u003e \u003cp\u003eMasks: Not Just for Halloween Anymore 164\u003c\/p\u003e \u003cp\u003eSaving and loading selections 165\u003c\/p\u003e \u003cp\u003eEditing an alpha channel 165\u003c\/p\u003e \u003cp\u003eAdding masks to layers and Smart Objects 167\u003c\/p\u003e \u003cp\u003eMasking with vector paths 167\u003c\/p\u003e \u003cp\u003eAdjustment Layers: Controlling Changes 168\u003c\/p\u003e \u003cp\u003eAdding an adjustment layer 168\u003c\/p\u003e \u003cp\u003eLimiting your adjustments 170\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8: Common Problems and Their Cures \u003c\/b\u003e\u003cb\u003e173\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMaking People Prettier 174\u003c\/p\u003e \u003cp\u003eGetting the red out digitally 174\u003c\/p\u003e \u003cp\u003eThe digital fountain of youth 175\u003c\/p\u003e \u003cp\u003eDieting digitally 176\u003c\/p\u003e \u003cp\u003eDe-glaring glasses 179\u003c\/p\u003e \u003cp\u003eWhitening teeth 179\u003c\/p\u003e \u003cp\u003eReducing Noise in Your Images 179\u003c\/p\u003e \u003cp\u003eDecreasing digital noise 180\u003c\/p\u003e \u003cp\u003eEliminating luminance noise 181\u003c\/p\u003e \u003cp\u003eFooling Around with Mother Nature 181\u003c\/p\u003e \u003cp\u003eRemoving the unwanted from photos 181\u003c\/p\u003e \u003cp\u003eEliminating the lean: Fixing perspective 185\u003c\/p\u003e \u003cp\u003eRotating images precisely 187\u003c\/p\u003e \u003cp\u003eAdding a beautiful sky 188\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 3: Creating “Art” in Photoshop 189\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9: Combining Images\u003c\/b\u003e\u003cb\u003e 191\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCompositing Images: 1 + 1 = 1 192\u003c\/p\u003e \u003cp\u003eUnderstanding layers 192\u003c\/p\u003e \u003cp\u003eWhy you should use Smart Objects 194\u003c\/p\u003e \u003cp\u003eUsing the basic blending modes 195\u003c\/p\u003e \u003cp\u003eOpacity, transparency, and layer masks 198\u003c\/p\u003e \u003cp\u003eCreating clipping groups 199\u003c\/p\u003e \u003cp\u003eMaking composited elements look natural 200\u003c\/p\u003e \u003cp\u003eMaking Complex Selections 201\u003c\/p\u003e \u003cp\u003eVanishing Point 204\u003c\/p\u003e \u003cp\u003eCreating Panoramas with Photomerge 208\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10: Precision Edges with Vector Paths\u003c\/b\u003e\u003cb\u003e 211\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePixels, Paths, and You 212\u003c\/p\u003e \u003cp\u003eEasy Vectors: Using Shapes 213\u003c\/p\u003e \u003cp\u003eYour basic shape tools 214\u003c\/p\u003e \u003cp\u003eThe Custom Shape tool 216\u003c\/p\u003e \u003cp\u003eMore custom shapes — free! 217\u003c\/p\u003e \u003cp\u003eChanging the appearance of the shape layer 219\u003c\/p\u003e \u003cp\u003eSimulating a multicolor shape layer 220\u003c\/p\u003e \u003cp\u003eUsing Your Pen Tool to Create Paths 221\u003c\/p\u003e \u003cp\u003eUnderstanding paths 222\u003c\/p\u003e \u003cp\u003eClicking and dragging your way down the path of knowledge 222\u003c\/p\u003e \u003cp\u003eA closer look at the Paths panel 226\u003c\/p\u003e \u003cp\u003eCustomizing Any Path 229\u003c\/p\u003e \u003cp\u003eAdding, deleting, and moving anchor points 230\u003c\/p\u003e \u003cp\u003eCombining paths 232\u003c\/p\u003e \u003cp\u003eTweaking type for a custom font 233\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11: Dressing Up Images with Layer Styles\u003c\/b\u003e\u003cb\u003e 235\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Are Layer Styles? 235\u003c\/p\u003e \u003cp\u003eUsing the Styles Panel 237\u003c\/p\u003e \u003cp\u003eCreating Custom Layer Styles 239\u003c\/p\u003e \u003cp\u003eExploring the Layer Style menu 239\u003c\/p\u003e \u003cp\u003eExploring the Layer Style dialog box 241\u003c\/p\u003e \u003cp\u003eLayer effects basics 242\u003c\/p\u003e \u003cp\u003eOpacity, fill, and advanced blending 251\u003c\/p\u003e \u003cp\u003eSaving Your Layer Styles 254\u003c\/p\u003e \u003cp\u003eAdding styles to the Styles panel 254\u003c\/p\u003e \u003cp\u003ePreserving your layer styles 255\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12: Giving Your Images a Text Message\u003c\/b\u003e\u003cb\u003e 257\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMaking a Word Worth a Thousand Pixels 258\u003c\/p\u003e \u003cp\u003eA type tool for every season, or reason 260\u003c\/p\u003e \u003cp\u003eWhat are all those options? 262\u003c\/p\u003e \u003cp\u003eTaking control of your text with panels 266\u003c\/p\u003e \u003cp\u003eThe panel menus — even more options 269\u003c\/p\u003e \u003cp\u003eWorking with Styles 271\u003c\/p\u003e \u003cp\u003ePutting a picture in your text 272\u003c\/p\u003e \u003cp\u003eCreating Paragraphs with Type Containers 274\u003c\/p\u003e \u003cp\u003eSelecting alignment or justification 276\u003c\/p\u003e \u003cp\u003eReady, BREAK! Hyphenating your text 277\u003c\/p\u003e \u003cp\u003eShaping Up Your Language with Warp Text and Type on a Path 278\u003c\/p\u003e \u003cp\u003eApplying the predefined warps 278\u003c\/p\u003e \u003cp\u003eCustomizing the course with paths 279\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13: Painting in Photoshop\u003c\/b\u003e\u003cb\u003e 283\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDiscovering Photoshop’s Painting Tools 284\u003c\/p\u003e \u003cp\u003ePainting with the Brush tool 286\u003c\/p\u003e \u003cp\u003eAdding color with the Pencil tool 289\u003c\/p\u003e \u003cp\u003eRemoving color with the Eraser tool 289\u003c\/p\u003e \u003cp\u003eWorking with Panels and Selecting Colors 290\u003c\/p\u003e \u003cp\u003eAn overview of options 290\u003c\/p\u003e \u003cp\u003eCreating and saving custom brush tips 293\u003c\/p\u003e \u003cp\u003ePicking a color 294\u003c\/p\u003e \u003cp\u003eFine Art Painting with Specialty Brush Tips and the Mixer Brush 297\u003c\/p\u003e \u003cp\u003eExploring erodible brush tips 297\u003c\/p\u003e \u003cp\u003eIntroducing airbrush and watercolor tips 297\u003c\/p\u003e \u003cp\u003eMixing things up with the Mixer Brush 298\u003c\/p\u003e \u003cp\u003eFilling, Stroking, Dumping, and Blending Colors 300\u003c\/p\u003e \u003cp\u003eDeleting and dumping to add color 300\u003c\/p\u003e \u003cp\u003eUsing gradients 301\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14: Filters: The Fun Side of Photoshop \u003c\/b\u003e\u003cb\u003e305\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSmart Filters: Your Creative Insurance Policy 306\u003c\/p\u003e \u003cp\u003eThe Filters You Really Need 307\u003c\/p\u003e \u003cp\u003eSharpening to focus the eye 308\u003c\/p\u003e \u003cp\u003eUnsharp Mask 308\u003c\/p\u003e \u003cp\u003eSmart Sharpen 310\u003c\/p\u003e \u003cp\u003eShake Reduction 311\u003c\/p\u003e \u003cp\u003eBlurring images and selections 312\u003c\/p\u003e \u003cp\u003eThe other Blur filters 315\u003c\/p\u003e \u003cp\u003eCorrecting for the vagaries of lenses 316\u003c\/p\u003e \u003cp\u003eCleaning up with Reduce Noise 320\u003c\/p\u003e \u003cp\u003eGetting Creative and Artistic 321\u003c\/p\u003e \u003cp\u003ePhoto to painting with the Oil Paint filter 321\u003c\/p\u003e \u003cp\u003eWorking with the Filter Gallery 322\u003c\/p\u003e \u003cp\u003ePush, Pull, and Twist with Liquify 325\u003c\/p\u003e \u003cp\u003eWhat Are Neural Filters? 327\u003c\/p\u003e \u003cp\u003eThe original Neural Filters 328\u003c\/p\u003e \u003cp\u003eNeural Filters in public beta testing 329\u003c\/p\u003e \u003cp\u003eProposed Neural Filters 330\u003c\/p\u003e \u003cp\u003eDo I Need Those Other Filters? 330\u003c\/p\u003e \u003cp\u003eAdding drama with Lighting Effects 331\u003c\/p\u003e \u003cp\u003eMaximum and Minimum 331\u003c\/p\u003e \u003cp\u003eBending and bubbling 332\u003c\/p\u003e \u003cp\u003eCreating clouds 332\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 4: Power Photoshop 333\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15: Streamlining Your Work in Photoshop\u003c\/b\u003e\u003cb\u003e 335\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eReady, Set, Action! 336\u003c\/p\u003e \u003cp\u003eRecording your own Actions 337\u003c\/p\u003e \u003cp\u003eWorking with the Batch command 342\u003c\/p\u003e \u003cp\u003eFind It Fast with Discover 344\u003c\/p\u003e \u003cp\u003eCreating Contact Sheets and Presentations 344\u003c\/p\u003e \u003cp\u003eCreating a PDF presentation 345\u003c\/p\u003e \u003cp\u003eCollecting thumbnails in a contact sheet 347\u003c\/p\u003e \u003cp\u003eScanning Multiple Photos in One Pass 349\u003c\/p\u003e \u003cp\u003eSticking to the Script 350\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16: Working with Video and Animation\u003c\/b\u003e\u003cb\u003e 353\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eImporting and Enhancing Video Clips 353\u003c\/p\u003e \u003cp\u003eGetting video into Photoshop 354\u003c\/p\u003e \u003cp\u003eAdjusting the length of video and audio clips 356\u003c\/p\u003e \u003cp\u003eAdding adjustment layers and painting on video layers 357\u003c\/p\u003e \u003cp\u003eTransitioning, titling, and adding special effects 358\u003c\/p\u003e \u003cp\u003eTransforming video layers 361\u003c\/p\u003e \u003cp\u003eRendering and exporting video 361\u003c\/p\u003e \u003cp\u003eCreating Animations in Photoshop 362\u003c\/p\u003e \u003cp\u003eBuilding frame-based animations 362\u003c\/p\u003e \u003cp\u003eCreating frame content 363\u003c\/p\u003e \u003cp\u003eTweening to create intermediary frames 365\u003c\/p\u003e \u003cp\u003eSpecifying frame rate 366\u003c\/p\u003e \u003cp\u003eOptimizing and saving your animation 366\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 5: The Part of Tens 367\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17: Ten Specialized Features of Photoshop CC\u003c\/b\u003e\u003cb\u003e 369\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing Smart Object Stack Modes 370\u003c\/p\u003e \u003cp\u003eThe Mean Stack Mode 372\u003c\/p\u003e \u003cp\u003eWorking with 3D Artwork 372\u003c\/p\u003e \u003cp\u003eCreating 3D objects 373\u003c\/p\u003e \u003cp\u003eAdding 3D objects 373\u003c\/p\u003e \u003cp\u003eRendering and saving 3D scenes 374\u003c\/p\u003e \u003cp\u003eMeasuring, Counting, and Analyzing Pixels 374\u003c\/p\u003e \u003cp\u003eMeasuring length, area, and more 374\u003c\/p\u003e \u003cp\u003eCalculating with Vanishing Point 376\u003c\/p\u003e \u003cp\u003eCounting crows or maybe avian flu 376\u003c\/p\u003e \u003cp\u003eViewing Your DICOM Medical Records 377\u003c\/p\u003e \u003cp\u003eIgnoring MATLAB 378\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 18: Ten Ways to Integrate Your iPad\u003c\/b\u003e\u003cb\u003e 379\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing Sidecar to Add an iPad to Your Screen 379\u003c\/p\u003e \u003cp\u003eSidecar System Requirements 380\u003c\/p\u003e \u003cp\u003eArranging Your iPad’s Screen 380\u003c\/p\u003e \u003cp\u003eMirroring the Screens 381\u003c\/p\u003e \u003cp\u003eMaximizing the Screen Space 381\u003c\/p\u003e \u003cp\u003eMaking Use of Photoshop on the iPad 382\u003c\/p\u003e \u003cp\u003eUsing the Cloud with Photoshop on the iPad and Desktop 383\u003c\/p\u003e \u003cp\u003eUsing Other Adobe iPad Apps 384\u003c\/p\u003e \u003cp\u003eDoes the iPad Replace My Wacom Tablet? 384\u003c\/p\u003e \u003cp\u003eSetting Wacom Tablet Preferences for Touch Keys and Touch Ring 385\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 19: Ten Things to Know about HDR\u003c\/b\u003e\u003cb\u003e 387\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUnderstanding HDR 387\u003c\/p\u003e \u003cp\u003eCapturing for Merge to HDR Pro 389\u003c\/p\u003e \u003cp\u003ePreparing Raw “Exposures” in Camera Raw 390\u003c\/p\u003e \u003cp\u003eWorking with Merge to HDR Pro 391\u003c\/p\u003e \u003cp\u003eSaving 32-Bit HDR Images 394\u003c\/p\u003e \u003cp\u003eHDR Toning 394\u003c\/p\u003e \u003cp\u003ePainting and the Color Picker in 32-Bit 395\u003c\/p\u003e \u003cp\u003eFilters and Adjustments in 32-Bit 396\u003c\/p\u003e \u003cp\u003eSelections and Editing in 32-Bit 397\u003c\/p\u003e \u003cp\u003ePrinting HDR Images 397\u003c\/p\u003e \u003cp\u003eAppendix: Photoshop CC’S Blending Modes 399\u003c\/p\u003e \u003cp\u003eIndex 403\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407127650647,"sku":"9781119711773","price":23.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119711773.jpg?v=1730498277"},{"product_id":"brief-notes-in-advanced-dsp-9781439801376","title":"Brief Notes in Advanced DSP","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eBased on the authors' research in Fourier analysis,\u003cstrong\u003e Brief Notes in Advanced DSP: Fourier Analysis with MATLAB\u003csup\u003e\u003c\/sup\u003e\u003c\/strong\u003e addresses many concepts and applications of digital signal processing (DSP). The included MATLAB\u003csup\u003e\u003c\/sup\u003e codes illustrate how to apply the ideas in practice.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe book begins with the basic concept of the discrete Fourier transformation and its properties. It then describes lifting schemes, integer transformations, the discrete cosine transform, and the paired transform method for calculating the discrete Hadamard transform. The text also examines the decomposition of the 1D signal by so-called section basis signals as well as new forms of 2D signal\/image representation and decomposition by direction signals\/images. Focusing on Fourier transform wavelets and GivensHaar transforms, the last chapter discusses the problem of signal multiresolution.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book presents numerous interesting problems and concepts of unitary tr\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eDiscrete Fourier Transform. Integer Fourier Transform. Cosine Transform. Hadamard Transform. Paired Transform-Based Decomposition. Fourier Transform and Multiresolution. References. Index.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":49408291537239,"sku":"9781439801376","price":128.25,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781439801376.jpg?v=1730502302"},{"product_id":"integrating-scale-in-remote-sensing-and-gis-9781482218268","title":"Integrating Scale in Remote Sensing and GIS","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eIntegrating Scale in Remote Sensing and GIS\u003c\/strong\u003e serves as the most comprehensive documentation of the scientific and methodological advances that have taken place in integrating scale and remote sensing data. This work addresses the invariants of scale, the ability to change scale, measures of the impact of scale, scale as a parameter in process models, and the implementation of multiscale approaches as methods and techniques for integrating multiple kinds of remote sensing data collected at varying spatial, temporal, and radiometric scales. Researchers, instructors, and students alike will benefit from a guide that has been pragmatically divided into four thematic groups: scale issues and multiple scaling; physical scale as applied to natural resources; urban scale; and human health\/social scale. Teeming with insights that elucidate the significance of scale as a foundation for geographic analysis, this book is a vital resource to those seriously involved in the field \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\"This book provides a new and comprehensive view of what scale means in today's rapidly advancing world of geographic information technologies. The authors and editors are some of the most reputable figures in the field, and passionate about creating more awareness of the importance of scale, and more knowledge of its properties and impacts. It is a very welcome addition to the literature on the topic, one that should be part of the library of every environmental or social scientist.\"\u003cbr\u003e—Michael F. Goodchild, University of California, Santa Barbara, USA\u003c\/p\u003e\u003cp\u003e\"This book is a superb mix of theory and a wide range of impactful applications, and at the same time integrates this with modern concepts and data sources such as complexity science and crowd-sourcing. I recommend this book to readers who are keen to understand the real world, and to know how to manipulate spatial and space-time data in a principled way.\"\u003cbr\u003e—Peter M. Atkinson, Lancaster University, United Kingdom\u003c\/p\u003e\u003cp\u003e\"The scale is a fundamental concept in geographical analysis, and this book addresse[s] the importance of scale in remote sensing (or broadly GIScience) from different per-spectives. This well-organized book includes four themes (13 Chapters), namely scale\/multi-scaling issues, physical scale, human scale, and social scale.\"\u003c\/p\u003e\u003cp\u003e—Mingshu Wang, University of Twente, Netherlands\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction. \u003cb\u003eFundamentals of Multiscaled Remote Sensing Data for GIS Integration\u003c\/b\u003e. Scale and Remote Sensing and GIS Integration: A Revisit of the Issues. Remote Sensing: Advances in Sensors and Data. Integration of Multispatial, Multitemporal, and Multispectral Remote Sensing Data in GIS: Progress and Challenges. \u003cb\u003eTheory, Methods, and Techniques for Multiscale Data Integration\u003c\/b\u003e. Computational and Technological Issues. Implementation of Multiscale Approaches: Methods and Examples. Modeling Methods for GIS Integration of Multiscaled Remote Sensing Data. Multiscaled Data Fusion for GIS Integration. Uncertainty and Error Analysis in Remote Sensing Data Integration with GIS. Geographic Object-Based Image Analysis. Temporal Analysis for Remote Sensing\/GIS Integration. \u003cb\u003eApplications of Multiscaled Remote Sensing and GIS\u003c\/b\u003e. Approaches to Land Use\/Land Change with Multiscaled Remote Sensing Data. Multiscaled Remote Sensing Data for Analysis of Landscape Heterogeneity. Environmental Modeling with Multiscaled Data. Use of Hyperspectral Data Remote Sensing Data in GIS. Analysis of Multiscaled Thermal Remote Sensing Data. Multiscaled Remote Sensing Data and GIS for Modeling Land Surface Processes. GIS, Multiscaled Remote Sensing Data for Climate Change Analysis. Integration of GPS, GIS, and Multiscaled Remote Sensing Data. Real Time Data and GIS Integration Applications. \u003cb\u003eMultiscaled Remote Sensing Data, GIS Integration, and the Future.\u003c\/b\u003e Summary. Epilogue.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":49409109623127,"sku":"9781482218268","price":156.75,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781482218268.jpg?v=1730505473"},{"product_id":"stream-processing-with-apache-spark-9781491944240","title":"Stream Processing with Apache Spark","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eBefore you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data.","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":49409190756695,"sku":"9781491944240","price":41.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781491944240.jpg?v=1730505856"},{"product_id":"intelligent-systems-advances-in-biometric-systems-soft-computing-image-processing-and-data-analytics-9781771888004","title":"Intelligent Systems: Advances in Biometric","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eProviding extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003ePart 1: Biometric Systems And Image Processing \u003c\/strong\u003e1. Intelligent Techniques: An Overview 2. A Survey on Artificial Intelligence Techniques Used in Bio-Metric Systems 3. Speech-Based Biometric Using Odia Phonetics 4. Deep Learning Techniques to Classify and Analyze Medical Imaging Data 5. Face Recognition System: An Overview 6. An Overview on the Concept of Speaker Recognition 7. Analysis of a Unimodal and Multimodal Biometric System \u003cstrong\u003ePart 2: Soft Computing And Data Analytics \u003c\/strong\u003e8. A Heuristic Approach of Parameter Tuning in a Smote-Based Preprocessing Algorithm for Imbalanced Ordinal Classification 9. Aspects of Deep Learning: Hyper-Parameter Tuning, Regularization, and Normalization 10. Super-Resolution of Reconstruction of Infrared Images Adopting Counter Neural Networks 11. High-End Tools and Technologies for Managing Data in the Age of Big Data 12. An AI-Based Chatbot Using Deep Learning \u003cstrong\u003ePart 3: Intelligent Systems And Hybrid Systems \u003c\/strong\u003e13. A Real-Time Data Analytics-Based Crop Diseases Recognition System 14. Image Caption Generation with Beam Search\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Apple Academic Press Inc.","offers":[{"title":"Default Title","offer_id":49411625550167,"sku":"9781771888004","price":124.45,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781771888004.jpg?v=1730514203"},{"product_id":"change-detection-and-image-time-series-analysis-1-unervised-methods-9781789450569","title":"Change Detection and Image Time-Series Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eChange Detection and Image Time Series Analysis 1 presents a wide range of unsupervised methods for temporal evolution analysis through the use of image time series associated with optical and\/or synthetic aperture radar acquisition modalities. \u003cbr\u003e\u003cbr\u003eChapter 1 introduces two unsupervised approaches to multiple-change detection in bi-temporal multivariate images, with Chapters 2 and 3 addressing change detection in image time series in the context of the statistical analysis of covariance matrices. Chapter 4 focuses on wavelets and convolutional-neural filters for feature extraction and entropy-based anomaly detection, and Chapter 5 deals with a number of metrics such as cross correlation ratios and the Hausdorff distance for variational analysis of the state of snow. Chapter 6 presents a fractional dynamic stochastic field model for spatio temporal forecasting and for monitoring fast-moving meteorological events such as cyclones. Chapter 7 proposes an analysis based on characteristic points for texture modeling, in the context of graph theory, and Chapter 8 focuses on detecting new land cover types by classification-based change detection or feature\/pixel based change detection. Chapter 9 focuses on the modeling of classes in the difference image and derives a multiclass model for this difference image in the context of change vector analysis.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eContents\u003c\/p\u003e \u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003eAbdourrahmane M. ATTO, Francesca BOVOLO and Lorenzo BRUZZONE\u003c\/p\u003e \u003cp\u003eList of Notations\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Unsupervised Change Detection in Multitemporal Remote Sensing Images 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSicong LIU, Francesca BOVOLO, Lorenzo BRUZZONE, QianDU\u003c\/p\u003e \u003cp\u003eand Xiaohua TONG\u003c\/p\u003e \u003cp\u003e1.1. Introduction 1\u003c\/p\u003e \u003cp\u003e1.2. Unsupervised change detection in multispectral images 3\u003c\/p\u003e \u003cp\u003e1.2.1.Relatedconcepts 3\u003c\/p\u003e \u003cp\u003e1.2.2.Openissuesandchallenges 7\u003c\/p\u003e \u003cp\u003e1.2.3. Spectral–spatial unsupervised CD techniques 7\u003c\/p\u003e \u003cp\u003e1.3 Unsupervised multiclass change detection approaches based on modelingspectral–spatialinformation 9\u003c\/p\u003e \u003cp\u003e1.3.1 Sequential spectral change vector analysis (S 2 CVA) 9\u003c\/p\u003e \u003cp\u003e1.3.2. Multiscale morphological compressed change vector analysis 11\u003c\/p\u003e \u003cp\u003e1.3.3. Superpixel-level compressed change vector analysis 15\u003c\/p\u003e \u003cp\u003e1.4.Datasetdescriptionandexperimentalsetup 18\u003c\/p\u003e \u003cp\u003e1.4.1.Datasetdescription 18\u003c\/p\u003e \u003cp\u003e1.4.2.Experimentalsetup 22\u003c\/p\u003e \u003cp\u003e1.5.Resultsanddiscussion 24\u003c\/p\u003e \u003cp\u003e1.5.1.ResultsontheXuzhoudataset 24\u003c\/p\u003e \u003cp\u003e1.5.2. Results on the Indonesia tsunami dataset 24\u003c\/p\u003e \u003cp\u003exv\u003c\/p\u003e \u003cp\u003e1.6.Conclusion 28\u003c\/p\u003e \u003cp\u003e1.7.Acknowledgements 29\u003c\/p\u003e \u003cp\u003e1.8.References 29\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Change Detection in Time Series of Polarimetric SAR Images 35\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eKnut CONRADSEN, Henning SKRIVER, MortonJ.CANTY\u003c\/p\u003e \u003cp\u003eandAllanA.NIELSEN\u003c\/p\u003e \u003cp\u003e2.1. Introduction 35\u003c\/p\u003e \u003cp\u003e2.1.1.Theproblem 36\u003c\/p\u003e \u003cp\u003e2.1.2 Important concepts illustrated by means of the gamma distribution 39\u003c\/p\u003e \u003cp\u003e2.2.Testtheoryandmatrixordering 45\u003c\/p\u003e \u003cp\u003e2.2.1. Test for equality of two complex Wishart distributions 45\u003c\/p\u003e \u003cp\u003e2.2.2. Test for equality of k-complex Wishart distributions 47\u003c\/p\u003e \u003cp\u003e2.2.3. The block diagonal case 49\u003c\/p\u003e \u003cp\u003e2.2.4.TheLoewnerorder 52\u003c\/p\u003e \u003cp\u003e2.3.Thebasicchangedetectionalgorithm 53\u003c\/p\u003e \u003cp\u003e2.4.Applications 55\u003c\/p\u003e \u003cp\u003e2.4.1.Visualizingchanges 58\u003c\/p\u003e \u003cp\u003e2.4.2.Fieldwisechangedetection 59\u003c\/p\u003e \u003cp\u003e2.4.3. Directional changes using the Loewner ordering 62\u003c\/p\u003e \u003cp\u003e2.4.4. Software availability 65\u003c\/p\u003e \u003cp\u003e2.5.References 70\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 An Overview of Covariance-based Change Detection Methodologies in Multivariate SAR Image Time Series 73\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAmmar MIAN, Guillaume GINOLHAC, Jean-Philippe OVARLEZ,\u003c\/p\u003e \u003cp\u003eArnaud BRELOY and Frédéric PASCAL\u003c\/p\u003e \u003cp\u003e3.1. Introduction 73\u003c\/p\u003e \u003cp\u003e3.2.Datasetdescription 76\u003c\/p\u003e \u003cp\u003e3.3.StatisticalmodelingofSARimages 77\u003c\/p\u003e \u003cp\u003e3.3.1.Thedata 77\u003c\/p\u003e \u003cp\u003e3.3.2.Gaussianmodel 77\u003c\/p\u003e \u003cp\u003e3.3.3.Non-Gaussianmodeling 83\u003c\/p\u003e \u003cp\u003e3.4.Dissimilaritymeasures 84\u003c\/p\u003e \u003cp\u003e3.4.1.Problemformulation 84\u003c\/p\u003e \u003cp\u003e3.4.2. Hypothesis testing statistics 85\u003c\/p\u003e \u003cp\u003e3.4.3.Information-theoreticmeasures 87\u003c\/p\u003e \u003cp\u003e3.4.4.Riemanniangeometrydistances 89\u003c\/p\u003e \u003cp\u003e3.4.5.Optimaltransport 90\u003c\/p\u003e \u003cp\u003e3.4.6.Summary 91\u003c\/p\u003e \u003cp\u003e3.4.7. Results of change detectors on the UAVSAR dataset 91\u003c\/p\u003e \u003cp\u003e3.5. Change detection based on structured covariances 94\u003c\/p\u003e \u003cp\u003e3.5.1. Low-rank Gaussian change detector 96\u003c\/p\u003e \u003cp\u003e3.5.2. Low-rank compound Gaussian change detector 97\u003c\/p\u003e \u003cp\u003e3.5.3. Results of low-rank change detectors on the UAVSAR dataset 100\u003c\/p\u003e \u003cp\u003e3.6.Conclusion 102\u003c\/p\u003e \u003cp\u003e3.7.References 103\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Unsupervised Functional Information Clustering in Extreme Environments from Filter Banks and Relative Entropy 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAbdourrahmane M. ATTO, Fatima KARBOU, Sophie GIFFARD-ROISIN\u003c\/p\u003e \u003cp\u003eand Lionel BOMBRUN\u003c\/p\u003e \u003cp\u003e4.1. Introduction 109\u003c\/p\u003e \u003cp\u003e4.2.Parametricmodelingofconvnetfeatures 110\u003c\/p\u003e \u003cp\u003e4.3.Anomalydetectioninimagetimeseries 113\u003c\/p\u003e \u003cp\u003e4.4.Functionalimagetimeseriesclustering 119\u003c\/p\u003e \u003cp\u003e4.5.Conclusion 123\u003c\/p\u003e \u003cp\u003e4.6.References 123\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Thresholds and Distances to Better Detect Wet Snow over Mountains with Sentinel-1 Image Time Series 127\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFatima KARBOU, Guillaume JAMES, Philippe DURAND\u003c\/p\u003e \u003cp\u003eand Abdourrahmane M. ATTO\u003c\/p\u003e \u003cp\u003e5.1. Introduction 127\u003c\/p\u003e \u003cp\u003e5.2.Testareaanddata 129\u003c\/p\u003e \u003cp\u003e5.3.WetsnowdetectionusingSentinel-1 129\u003c\/p\u003e \u003cp\u003e5.4.Metricstodetectwetsnow 133\u003c\/p\u003e \u003cp\u003e5.5.Discussion 138\u003c\/p\u003e \u003cp\u003e5.6.Conclusion 143\u003c\/p\u003e \u003cp\u003e5.7.Acknowledgements 143\u003c\/p\u003e \u003cp\u003e5.8.References 143\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Fractional Field Image Time Series Modeling and Application to Cyclone Tracking 145\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAbdourrahmane M. ATTO, Aluísio PINHEIRO, Guillaume GINOLHAC\u003c\/p\u003e \u003cp\u003eand Pedro MORETTIN\u003c\/p\u003e \u003cp\u003e6.1. Introduction 145\u003c\/p\u003e \u003cp\u003e6.2. Random field model of a cyclone texture 148\u003c\/p\u003e \u003cp\u003e6.2.1.Cyclonetexturefeature 149\u003c\/p\u003e \u003cp\u003e6.2.2. Wavelet-based power spectral densities and cyclone fields 150\u003c\/p\u003e \u003cp\u003e6.2.3. Fractional spectral power decay model 153\u003c\/p\u003e \u003cp\u003e6.3.Cyclonefieldeyedetectionandtracking 157\u003c\/p\u003e \u003cp\u003e6.3.1.Cycloneeyedetection 157\u003c\/p\u003e \u003cp\u003e6.3.2.Dynamicfractalfieldeyetracking 158\u003c\/p\u003e \u003cp\u003e6.4. Cyclone field intensity evolution prediction 159\u003c\/p\u003e \u003cp\u003e6.5.Discussion 161\u003c\/p\u003e \u003cp\u003e6.6.Acknowledgements 163\u003c\/p\u003e \u003cp\u003e6.7.References 163\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Graph of Characteristic Points for Texture Tracking: Application to Change Detection and Glacier Flow Measurement from SAR Images 167\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMinh-Tan PHAM and Grégoire MERCIER\u003c\/p\u003e \u003cp\u003e7.1. Introduction 167\u003c\/p\u003e \u003cp\u003e7.2. Texture representation and characterization using local extrema 169\u003c\/p\u003e \u003cp\u003e7.2.1.Motivationandapproach 169\u003c\/p\u003e \u003cp\u003e7.2.2. Local extrema keypoints within SAR images 172\u003c\/p\u003e \u003cp\u003e7.3.Unsupervisedchangedetection 175\u003c\/p\u003e \u003cp\u003e7.3.1. Proposed framework 175\u003c\/p\u003e \u003cp\u003e7.3.2. Weighted graph construction from keypoints 176\u003c\/p\u003e \u003cp\u003e7.3.3.Changemeasure(CM)generation 178\u003c\/p\u003e \u003cp\u003e7.4.Experimentalstudy 179\u003c\/p\u003e \u003cp\u003e7.4.1. Data description and evaluation criteria 179\u003c\/p\u003e \u003cp\u003e7.4.2.Changedetectionresults 181\u003c\/p\u003e \u003cp\u003e7.4.3.Sensitivitytoparameters 185\u003c\/p\u003e \u003cp\u003e7.4.4.ComparisonwiththeNLMmodel 188\u003c\/p\u003e \u003cp\u003e7.4.5. Analysis of the algorithm complexity 191\u003c\/p\u003e \u003cp\u003e7.5.Applicationtoglacierflowmeasurement 192\u003c\/p\u003e \u003cp\u003e7.5.1. Proposed method 193\u003c\/p\u003e \u003cp\u003e7.5.2.Results 194\u003c\/p\u003e \u003cp\u003e7.6.Conclusion 196\u003c\/p\u003e \u003cp\u003e7.7.References 197\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Multitemporal Analysis of Sentinel-1\/2 Images for Land Use Monitoring at Regional Scale 201\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAndrea GARZELLI and Claudia ZOPPETTI\u003c\/p\u003e \u003cp\u003e8.1. Introduction 201\u003c\/p\u003e \u003cp\u003e8.2. Proposed method 203\u003c\/p\u003e \u003cp\u003e8.2.1.Testsiteanddata 206\u003c\/p\u003e \u003cp\u003e8.3.SARprocessing 209\u003c\/p\u003e \u003cp\u003e8.4.Opticalprocessing 215\u003c\/p\u003e \u003cp\u003e8.5.Combinationlayer 217\u003c\/p\u003e \u003cp\u003e8.6.Results 219\u003c\/p\u003e \u003cp\u003e8.7.Conclusion 220\u003c\/p\u003e \u003cp\u003e8.8.References 221\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Statistical Difference Models for Change Detection in Multispectral Images 223\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMassimo ZANETTI, Francesca BOVOLO and Lorenzo BRUZZONE\u003c\/p\u003e \u003cp\u003e9.1. Introduction 223\u003c\/p\u003e \u003cp\u003e9.2. Overview of the change detection problem 225\u003c\/p\u003e \u003cp\u003e9.2.1. Change detection methods for multispectral images 227\u003c\/p\u003e \u003cp\u003e9.2.2. Challenges addressed in this chapter 230\u003c\/p\u003e \u003cp\u003e9.3 The Rayleigh–Rice mixture model for the magnitude of the differenceimage 231\u003c\/p\u003e \u003cp\u003e9.3.1. Magnitude image statistical mixture model 231\u003c\/p\u003e \u003cp\u003e9.3.2.Bayesiandecision 233\u003c\/p\u003e \u003cp\u003e9.3.3. Numerical approach to parameter estimation 234\u003c\/p\u003e \u003cp\u003e9.4. A compound multiclass statistical model of the difference image 239\u003c\/p\u003e \u003cp\u003e9.4.1. Difference image statistical mixture model 240\u003c\/p\u003e \u003cp\u003e9.4.2. Magnitude image statistical mixture model 245\u003c\/p\u003e \u003cp\u003e9.4.3.Bayesiandecision 248\u003c\/p\u003e \u003cp\u003e9.4.4. Numerical approach to parameter estimation 249\u003c\/p\u003e \u003cp\u003e9.5.Experimentalresults 253\u003c\/p\u003e \u003cp\u003e9.5.1.Datasetdescription 253\u003c\/p\u003e \u003cp\u003e9.5.2.Experimentalsetup 256\u003c\/p\u003e \u003cp\u003e9.5.3. Test 1: Two-class Rayleigh–Rice mixture model 256\u003c\/p\u003e \u003cp\u003e9.5.4. Test 2: Multiclass Rician mixture model 260\u003c\/p\u003e \u003cp\u003e9.6.Conclusion 266\u003c\/p\u003e \u003cp\u003e9.7.References 267\u003c\/p\u003e \u003cp\u003eList of Authors 275\u003c\/p\u003e \u003cp\u003eIndex 277\u003c\/p\u003e \u003cp\u003eSummary of Volume 2 281\u003c\/p\u003e","brand":"ISTE Ltd","offers":[{"title":"Default Title","offer_id":49412637917527,"sku":"9781789450569","price":124.15,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781789450569.jpg?v=1730517446"},{"product_id":"change-detection-and-image-time-series-analysis-2-supervised-methods-9781789450576","title":"Change Detection and Image Time Series Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eChange Detection and Image Time Series Analysis 2\u003c\/i\u003e presents supervised machine-learning-based methods for temporal evolution analysis by using image time series associated with Earth observation data. Chapter 1 addresses the fusion of multisensor, multiresolution and multitemporal data. It proposes two supervised solutions that are based on a Markov random field: the first relies on a quad-tree and the second is specifically designed to deal with multimission, multifrequency and multiresolution time series.\u003cbr\u003e\u003cbr\u003eChapter 2 provides an overview of pixel based methods for time series classification, from the earliest shallow learning methods to the most recent deep-learning-based approaches.\u003cbr\u003e\u003cbr\u003eChapter 3 focuses on very high spatial resolution data time series and on the use of semantic information for modeling spatio-temporal evolution patterns.\u003cbr\u003e\u003cbr\u003eChapter 4 centers on the challenges of dense time series analysis, including pre processing aspects and a taxonomy of existing methodologies. Finally, since the evaluation of a learning system can be subject to multiple considerations,\u003cbr\u003e\u003cbr\u003eChapters 5 and 6 offer extensive evaluations of the methodologies and learning frameworks used to produce change maps, in the context of multiclass and\/or multilabel change classification issues.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eContents\u003c\/p\u003e \u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eAbdourrahmane M. ATTO, Francesca BOVOLO and Lorenzo BRUZZONE\u003c\/p\u003e \u003cp\u003eList of Notations\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Hierarchical Markov Random Fields for High Resolution Land Cover Classification of Multisensor and Multiresolution Image Time Series 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIhsen HEDHLI, Gabriele MOSER, Sebastiano B. SERPICO\u003c\/p\u003e \u003cp\u003eand Josiane ZERUBIA\u003c\/p\u003e \u003cp\u003e1.1. Introduction 1\u003c\/p\u003e \u003cp\u003e1.1.1. The role of multisensor data in time series classification 1\u003c\/p\u003e \u003cp\u003e1.1.2. Multisensor and multiresolution classification 2\u003c\/p\u003e \u003cp\u003e1.1.3.Previouswork 5\u003c\/p\u003e \u003cp\u003e1.2. Methodology 9\u003c\/p\u003e \u003cp\u003e1.2.1. Overview of the proposed approaches 9\u003c\/p\u003e \u003cp\u003e1.2.2. Hierarchical model associated with the first proposed method 10\u003c\/p\u003e \u003cp\u003e1.2.3. Hierarchical model associated with the second proposed method 13\u003c\/p\u003e \u003cp\u003e1.2.4. Multisensor hierarchical MPM inference 14\u003c\/p\u003e \u003cp\u003e1.2.5. Probability density estimation through finite mixtures 17\u003c\/p\u003e \u003cp\u003e1.3.Examplesofexperimentalresults 19\u003c\/p\u003e \u003cp\u003e1.3.1.Resultsofthefirstmethod 19\u003c\/p\u003e \u003cp\u003e1.3.2.Resultsofthesecondmethod 22\u003c\/p\u003e \u003cp\u003e1.4.Conclusion 26\u003c\/p\u003e \u003cp\u003exiii\u003c\/p\u003e \u003cp\u003e1.5.Acknowledgments 26\u003c\/p\u003e \u003cp\u003e1.6.References 27\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Pixel-based Classification Techniques for Satellite Image Time Series 33\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCharlotte PELLETIER and Silvia VALERO\u003c\/p\u003e \u003cp\u003e2.1. Introduction 33\u003c\/p\u003e \u003cp\u003e2.2. Basic concepts in supervised remote sensing classification 35\u003c\/p\u003e \u003cp\u003e2.2.1. Preparing data before it is fed into classification algorithms 35\u003c\/p\u003e \u003cp\u003e2.2.2. Key considerations when training supervised classifiers 39\u003c\/p\u003e \u003cp\u003e2.2.3. Performance evaluation of supervised classifiers 41\u003c\/p\u003e \u003cp\u003e2.3.Traditionalclassificationalgorithms 45\u003c\/p\u003e \u003cp\u003e2.3.1. Support vector machines 45\u003c\/p\u003e \u003cp\u003e2.3.2. Random forests 51\u003c\/p\u003e \u003cp\u003e2.3.3. k-nearest neighbor 56\u003c\/p\u003e \u003cp\u003e2.4. Classification strategies based on temporal feature representations 59\u003c\/p\u003e \u003cp\u003e2.4.1. Phenology-based classification approaches 60\u003c\/p\u003e \u003cp\u003e2.4.2 Dictionary-based classificationapproaches 61\u003c\/p\u003e \u003cp\u003e2.4.3 Shapelet-based classificationapproaches 62\u003c\/p\u003e \u003cp\u003e2.5.Deeplearningapproaches 63\u003c\/p\u003e \u003cp\u003e2.5.1. Introduction to deep learning 64\u003c\/p\u003e \u003cp\u003e2.5.2.Convolutionalneuralnetworks 68\u003c\/p\u003e \u003cp\u003e2.5.3.Recurrentneuralnetworks 71\u003c\/p\u003e \u003cp\u003e2.6.References 75\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Semantic Analysis of Satellite Image Time Series 85\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCorneliu Octavian DUMITRU and Mihai DATCU\u003c\/p\u003e \u003cp\u003e3.1. Introduction 85\u003c\/p\u003e \u003cp\u003e3.1.1.TypicalSITSexamples 89\u003c\/p\u003e \u003cp\u003e3.1.2. Irregular acquisitions 90\u003c\/p\u003e \u003cp\u003e3.1.3.Thechapterstructure 96\u003c\/p\u003e \u003cp\u003e3.2.WhyaresemanticsneededinSITS? 96\u003c\/p\u003e \u003cp\u003e3.3.Similaritymetrics 97\u003c\/p\u003e \u003cp\u003e3.4. Feature methods 98\u003c\/p\u003e \u003cp\u003e3.5. Classification methods 98\u003c\/p\u003e \u003cp\u003e3.5.1.Activelearning 99\u003c\/p\u003e \u003cp\u003e3.5.2.Relevancefeedback 100\u003c\/p\u003e \u003cp\u003e3.5.3. Compression-based pattern recognition 100\u003c\/p\u003e \u003cp\u003e3.5.4.LatentDirichletallocation 101\u003c\/p\u003e \u003cp\u003e3.6.Conclusion 102\u003c\/p\u003e \u003cp\u003evii\u003c\/p\u003e \u003cp\u003e3.7.Acknowledgments 105\u003c\/p\u003e \u003cp\u003e3.8.References 105\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Optical Satellite Image Time Series Analysis for Environment Applications: From Classical Methods to Deep Learning and Beyond 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMatthieu MOLINIER, Jukka MIETTINEN,DinoIENCO,ShiQIU and Zhe ZHU\u003c\/p\u003e \u003cp\u003e4.1. Introduction 109\u003c\/p\u003e \u003cp\u003e4.2. Annual time series 111\u003c\/p\u003e \u003cp\u003e4.2.1. Overview of annual time series methods 111\u003c\/p\u003e \u003cp\u003e4.2.2 Examples of annual times series analysis applications for environmentalmonitoring 112\u003c\/p\u003e \u003cp\u003e4.2.3.Towardsdensetimeseriesanalysis 116\u003c\/p\u003e \u003cp\u003e4.3. Dense time series analysis using all available data 117\u003c\/p\u003e \u003cp\u003e4.3.1. Making dense time series consistent 118\u003c\/p\u003e \u003cp\u003e4.3.2. Change detection methods 121\u003c\/p\u003e \u003cp\u003e4.3.3.Summaryandfuturedevelopments 125\u003c\/p\u003e \u003cp\u003e4.4. Deep learning-based time series analysis approaches 126\u003c\/p\u003e \u003cp\u003e4.4.1 Recurrent Neural Network (RNN) for Satellite Image TimeSeries 129\u003c\/p\u003e \u003cp\u003e4.4.2 Convolutional Neural Networks (CNN) for Satellite Image TimeSeries 131\u003c\/p\u003e \u003cp\u003e4.4.3. Hybrid models: Convolutional Recurrent Neural Network (ConvRNN) models for Satellite Image Time Series 134\u003c\/p\u003e \u003cp\u003e4.4.4. Synthesis and future developments 136\u003c\/p\u003e \u003cp\u003e4.5. Beyond satellite image time series and deep learning: convergence between time series and video approaches 136\u003c\/p\u003e \u003cp\u003e4.5.1 Increased image acquisition frequency: from time series to spacebornetime-lapseandvideos 137\u003c\/p\u003e \u003cp\u003e4.5.2. Deep learning and computer vision as technology enablers 138\u003c\/p\u003e \u003cp\u003e4.5.3.Futuresteps 139\u003c\/p\u003e \u003cp\u003e4.6.References 140\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 A Review on Multi-temporal Earthquake Damage Assessment Using Satellite Images 155\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGülşen TAŞKIN, EsraERTEN and Enes Oğuzhan ALATAŞ\u003c\/p\u003e \u003cp\u003e5.1. Introduction 155\u003c\/p\u003e \u003cp\u003e5.1.1. Research methodology and statistics 159\u003c\/p\u003e \u003cp\u003e5.2. Satellite-based earthquake damage assessment 165\u003c\/p\u003e \u003cp\u003e5.3. Pre-processing of satellite images before damage assessment 167\u003c\/p\u003e \u003cp\u003e5.4. Multi-source image analysis 168\u003c\/p\u003e \u003cp\u003e5.5. Contextual feature mining for damage assessment 169\u003c\/p\u003e \u003cp\u003e5.5.1.Texturalfeatures 170\u003c\/p\u003e \u003cp\u003e5.5.2. Filter-based methods 173\u003c\/p\u003e \u003cp\u003e5.6. Multi-temporal image analysis for damage assessment 175\u003c\/p\u003e \u003cp\u003e5.6.1. Use of machine learning in damage assessment problem 176\u003c\/p\u003e \u003cp\u003e5.6.2. Rapid earthquake damage assessment 180\u003c\/p\u003e \u003cp\u003e5.7. Understanding damage following an earthquake using satellite-based SAR 181\u003c\/p\u003e \u003cp\u003e5.7.1. SAR fundamental parameters and acquisition vector 185\u003c\/p\u003e \u003cp\u003e5.7.2. Coherent methods for damage assessment 188\u003c\/p\u003e \u003cp\u003e5.7.3. Incoherent methods for damage assessment 192\u003c\/p\u003e \u003cp\u003e5.7.4. Post-earthquake-only SAR data-based damage assessment 195\u003c\/p\u003e \u003cp\u003e5.7.5 Combination of coherent and incoherent methods for damage assessment 196\u003c\/p\u003e \u003cp\u003e5.7.6.Summary 198\u003c\/p\u003e \u003cp\u003e5.8. Use of auxiliary data sources 200\u003c\/p\u003e \u003cp\u003e5.9.Damagegrades 200\u003c\/p\u003e \u003cp\u003e5.10.Conclusionanddiscussion 203\u003c\/p\u003e \u003cp\u003e5.11.References 205\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Multiclass Multilabel Change of State Transfer Learning from Image Time Series 223\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAbdourrahmane M. ATTO,HélaHADHRI, FlavienVERNIER\u003c\/p\u003e \u003cp\u003eand Emmanuel TROUVÉ\u003c\/p\u003e \u003cp\u003e6.1. Introduction 223\u003c\/p\u003e \u003cp\u003e6.2. Coarse- to fine-grained change of state dataset 225\u003c\/p\u003e \u003cp\u003e6.3. Deep transfer learning models for change of state classification 232\u003c\/p\u003e \u003cp\u003e6.3.1.Deeplearningmodellibrary 232\u003c\/p\u003e \u003cp\u003e6.3.2.GraphstructuresfortheCNNlibrary 234\u003c\/p\u003e \u003cp\u003e6.3.3. Dimensionalities of the learnables for the CNN library 236\u003c\/p\u003e \u003cp\u003e6.4.Changeofstateanalysis 237\u003c\/p\u003e \u003cp\u003e6.4.1 Transfer learning adaptations for the change of state classificationissues 238\u003c\/p\u003e \u003cp\u003e6.4.2.Experimentalresults 239\u003c\/p\u003e \u003cp\u003e6.5.Conclusion 243\u003c\/p\u003e \u003cp\u003e6.6.Acknowledgments 244\u003c\/p\u003e \u003cp\u003e6.7.References 244\u003c\/p\u003e \u003cp\u003eList of Authors 247\u003c\/p\u003e \u003cp\u003eIndex 249\u003c\/p\u003e \u003cp\u003eSummary of Volume 1 253\u003c\/p\u003e","brand":"ISTE Ltd","offers":[{"title":"Default Title","offer_id":49412637983063,"sku":"9781789450576","price":124.15,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781789450576.jpg?v=1730517446"},{"product_id":"compression-of-biomedical-images-and-signals-9781848210288","title":"Compression of Biomedical Images and Signals","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eDuring the last decade, image and signal compression for storage and transmission purpose has seen a great expansion. But what about medical data compression? Should a medical image or a physiological signal be processed and compressed like any other data? The progress made in imaging systems, storing systems and telemedicine makes compression in this field particularly interesting. However, this compression has to be adapted to the specificities of biomedical data which contain diagnosis information.\u003cbr\u003e As such, this book offers an overview of compression techniques applied to medical data, including: physiological signals, MRI, X-ray, ultrasound images, static and dynamic volumetric images.\u003cbr\u003e Researchers, clinicians, engineers and professionals in this area, along with postgraduate students in the signal and image processing field, will find this book to be of great interest.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003ci\u003ePreface xiii\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1. Relevance of Biomedical Data Compression 1\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eJean-Yves TANGUY, Pierre JALLET, Christel LE BOZEC and Guy FRIJA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1. Introduction 1\u003c\/p\u003e \u003cp\u003e1.2. The management of digital data using PACS 2\u003c\/p\u003e \u003cp\u003e1.2.1. Usefulness of PACS 2\u003c\/p\u003e \u003cp\u003e1.2.2. The limitations of installing a PACS 3\u003c\/p\u003e \u003cp\u003e1.3. The increasing quantities of digital data 4\u003c\/p\u003e \u003cp\u003e1.3.1. An example from radiology 4\u003c\/p\u003e \u003cp\u003e1.3.2. An example from anatomic pathology 6\u003c\/p\u003e \u003cp\u003e1.3.3. An example from cardiology with ECG 7\u003c\/p\u003e \u003cp\u003e1.3.4. Increases in the number of explorative examinations 8\u003c\/p\u003e \u003cp\u003e1.4. Legal and practical matters 8\u003c\/p\u003e \u003cp\u003e1.5. The role of data compression. 9\u003c\/p\u003e \u003cp\u003e1.6. Diagnostic quality 10\u003c\/p\u003e \u003cp\u003e1.6.1. Evaluation 10\u003c\/p\u003e \u003cp\u003e1.6.2. Reticence 11\u003c\/p\u003e \u003cp\u003e1.7. Conclusion 12\u003c\/p\u003e \u003cp\u003e1.8. Bibliography 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2. State of the Art of Compression Methods 15\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eAtilla BASKURT\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1. Introduction 15\u003c\/p\u003e \u003cp\u003e2.2. Outline of a generic compression technique 16\u003c\/p\u003e \u003cp\u003e2.2.1. Reducing redundancy 17\u003c\/p\u003e \u003cp\u003e2.2.2. Quantizing the decorrelated information 18\u003c\/p\u003e \u003cp\u003e2.2.3. Coding the quantized values 18\u003c\/p\u003e \u003cp\u003e2.2.4. Compression ratio, quality evaluation 20\u003c\/p\u003e \u003cp\u003e2.3. Compression of still images 21\u003c\/p\u003e \u003cp\u003e2.3.1. JPEG standard 22\u003c\/p\u003e \u003cp\u003e2.3.1.1. Why use DCT? 22\u003c\/p\u003e \u003cp\u003e2.3.1.2. Quantization 24\u003c\/p\u003e \u003cp\u003e2.3.1.3. Coding 24\u003c\/p\u003e \u003cp\u003e2.3.1.4. Compression of still color images with JPEG 25\u003c\/p\u003e \u003cp\u003e2.3.1.5. JPEG standard: conclusion 26\u003c\/p\u003e \u003cp\u003e2.3.2. JPEG 2000 standard 27\u003c\/p\u003e \u003cp\u003e2.3.2.1. Wavelet transform 27\u003c\/p\u003e \u003cp\u003e2.3.2.2. Decomposition of images with the wavelet transform 27\u003c\/p\u003e \u003cp\u003e2.3.2.3. Quantization and coding of subbands 29\u003c\/p\u003e \u003cp\u003e2.3.2.4. Wavelet-based compression methods, serving as references 30\u003c\/p\u003e \u003cp\u003e2.3.2.5. JPEG 2000 standard 31\u003c\/p\u003e \u003cp\u003e2.4. The compression of image sequences 33\u003c\/p\u003e \u003cp\u003e2.4.1. DCT-based video compression scheme 34\u003c\/p\u003e \u003cp\u003e2.4.2. A history of and comparison between video standards 36\u003c\/p\u003e \u003cp\u003e2.4.3. Recent developments in video compression 38\u003c\/p\u003e \u003cp\u003e2.5. Compressing 1D signals 38\u003c\/p\u003e \u003cp\u003e2.6. The compression of 3D objects 39\u003c\/p\u003e \u003cp\u003e2.7. Conclusion and future developments 39\u003c\/p\u003e \u003cp\u003e2.8. Bibliography 40\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3. Specificities of Physiological Signals and Medical Images 43\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eChristine CAVARO-MÉNARD, Amine NAÏT-ALI, Jean-Yves TANGUY, Elsa ANGELINI, Christel LE BOZEC and Jean-Jacques LE JEUNE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1. Introduction 43\u003c\/p\u003e \u003cp\u003e3.2. Characteristics of physiological signals 44\u003c\/p\u003e \u003cp\u003e3.2.1. Main physiological signals 44\u003c\/p\u003e \u003cp\u003e3.2.1.1. Electroencephalogram (EEG) 44\u003c\/p\u003e \u003cp\u003e3.2.1.2. Evoked potential (EP) 45\u003c\/p\u003e \u003cp\u003e3.2.1.3. Electromyogram (EMG) 45\u003c\/p\u003e \u003cp\u003e3.2.1.4. Electrocardiogram (ECG) 46\u003c\/p\u003e \u003cp\u003e3.2.2. Physiological signal acquisition 46\u003c\/p\u003e \u003cp\u003e3.2.3. Properties of physiological signals 46\u003c\/p\u003e \u003cp\u003e3.2.3.1. Properties of EEG signals 46\u003c\/p\u003e \u003cp\u003e3.2.3.2. Properties of ECG signals 48\u003c\/p\u003e \u003cp\u003e3.3. Specificities of medical images 50\u003c\/p\u003e \u003cp\u003e3.3.1. The different features of medical imaging formation processes 50\u003c\/p\u003e \u003cp\u003e3.3.1.1. Radiology 51\u003c\/p\u003e \u003cp\u003e3.3.1.2. Magnetic resonance imaging (MRI) 54\u003c\/p\u003e \u003cp\u003e3.3.1.3. Ultrasound 58\u003c\/p\u003e \u003cp\u003e3.3.1.4. Nuclear medicine 62\u003c\/p\u003e \u003cp\u003e3.3.1.5. Anatomopathological imaging 66\u003c\/p\u003e \u003cp\u003e3.3.1.6. Conclusion 68\u003c\/p\u003e \u003cp\u003e3.3.2. Properties of medical images 69\u003c\/p\u003e \u003cp\u003e3.3.2.1. The size of images 70\u003c\/p\u003e \u003cp\u003e3.3.2.2. Spatial and temporal resolution 71\u003c\/p\u003e \u003cp\u003e3.3.2.3. Noise in medical images 72\u003c\/p\u003e \u003cp\u003e3.4. Conclusion 73\u003c\/p\u003e \u003cp\u003e3.5. Bibliography 74\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4. Standards in Medical Image Compression 77\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eBernard GIBAUD and Joël CHABRIAIS\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1. Introduction 77\u003c\/p\u003e \u003cp\u003e4.2. Standards for communicating medical data 79\u003c\/p\u003e \u003cp\u003e4.2.1. Who creates the standards, and how? 79\u003c\/p\u003e \u003cp\u003e4.2.2. Standards in the healthcare sector 80\u003c\/p\u003e \u003cp\u003e4.2.2.1. Technical committee 251 of CEN 80\u003c\/p\u003e \u003cp\u003e4.2.2.2. Technical committee 215 of the ISO 80\u003c\/p\u003e \u003cp\u003e4.2.2.3. DICOM Committee 80\u003c\/p\u003e \u003cp\u003e4.2.2.4.Health Level Seven (HL7) 85\u003c\/p\u003e \u003cp\u003e4.2.2.5. Synergy between the standards bodies 86\u003c\/p\u003e \u003cp\u003e4.3. Existing standards for image compression 87\u003c\/p\u003e \u003cp\u003e4.3.1. Image compression 87\u003c\/p\u003e \u003cp\u003e4.3.2. Image compression in the DICOM standard 89\u003c\/p\u003e \u003cp\u003e4.3.2.1. The coding of compressed images in DICOM 89\u003c\/p\u003e \u003cp\u003e4.3.2.2. The types of compression available 92\u003c\/p\u003e \u003cp\u003e4.3.2.3. Modes of access to compressed data 95\u003c\/p\u003e \u003cp\u003e4.4. Conclusion 99\u003c\/p\u003e \u003cp\u003e4.5. Bibliography 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5. Quality Assessment of Lossy Compressed Medical Images 101\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eChristine CAVARO-MÉNARD, Patrick LE CALLET, Dominique BARBA and Jean-Yves TANGUY\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1. Introduction 101\u003c\/p\u003e \u003cp\u003e5.2. Degradations generated by compression norms and their consequences in medical imaging 102\u003c\/p\u003e \u003cp\u003e5.2.1. The block effect 102\u003c\/p\u003e \u003cp\u003e5.2.2. Fading contrast in high spatial frequencies 103\u003c\/p\u003e \u003cp\u003e5.3. Subjective quality assessment 105\u003c\/p\u003e \u003cp\u003e5.3.1. Protocol evaluation 105\u003c\/p\u003e \u003cp\u003e5.3.2. Analyzing the diagnosis reliability 106\u003c\/p\u003e \u003cp\u003e5.3.2.1. ROC analysis 108\u003c\/p\u003e \u003cp\u003e5.3.2.2. Analyses that are not based on the ROC method 111\u003c\/p\u003e \u003cp\u003e5.3.3. Analyzing the quality of diagnostic criteria 111\u003c\/p\u003e \u003cp\u003e5.3.4. Conclusion 114\u003c\/p\u003e \u003cp\u003e5.4. Objective quality assessment 114\u003c\/p\u003e \u003cp\u003e5.4.1. Simple signal-based metrics 115\u003c\/p\u003e \u003cp\u003e5.4.2. Metrics based on texture analysis 115\u003c\/p\u003e \u003cp\u003e5.4.3. Metrics based on a model version of the HVS 117\u003c\/p\u003e \u003cp\u003e5.4.3.1. Luminance adaptation 117\u003c\/p\u003e \u003cp\u003e5.4.3.2. Contrast sensivity 118\u003c\/p\u003e \u003cp\u003e5.4.3.3. Spatio-frequency decomposition 118\u003c\/p\u003e \u003cp\u003e5.4.3.4. Masking effect 119\u003c\/p\u003e \u003cp\u003e5.4.3.5. Visual distortion measures 120\u003c\/p\u003e \u003cp\u003e5.4.4. Analysis of the modification of quantitative clinical parameters 123\u003c\/p\u003e \u003cp\u003e5.5. Conclusion 125\u003c\/p\u003e \u003cp\u003e5.6. Bibliography 125\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6. Compression of Physiological Signals 129\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eAmine NAÏT-ALI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1. Introduction 129\u003c\/p\u003e \u003cp\u003e6.2. Standards for coding physiological signals 130\u003c\/p\u003e \u003cp\u003e6.2.1. CEN\/ENV 1064 Norm 130\u003c\/p\u003e \u003cp\u003e6.2.2. ASTM 1467 Norm 130\u003c\/p\u003e \u003cp\u003e6.2.3. EDF norm 130\u003c\/p\u003e \u003cp\u003e6.2.4. Other norms 131\u003c\/p\u003e \u003cp\u003e6.3. EEG compression 131\u003c\/p\u003e \u003cp\u003e6.3.1. Time-domain EEG compression 131\u003c\/p\u003e \u003cp\u003e6.3.2. Frequency-domain EEG compression 132\u003c\/p\u003e \u003cp\u003e6.3.3. Time-frequency EEG compression 132\u003c\/p\u003e \u003cp\u003e6.3.4. Spatio-temporal compression of the EEG 132\u003c\/p\u003e \u003cp\u003e6.3.5. Compression of the EEG by parameter extraction 132\u003c\/p\u003e \u003cp\u003e6.4. ECG compression 133\u003c\/p\u003e \u003cp\u003e6.4.1. State of the art 133\u003c\/p\u003e \u003cp\u003e6.4.2. Evaluation of the performances of ECG compression methods 134\u003c\/p\u003e \u003cp\u003e6.4.3. ECG pre-processing 135\u003c\/p\u003e \u003cp\u003e6.4.4. ECG compression for real-time transmission 136\u003c\/p\u003e \u003cp\u003e6.4.4.1. Time domain ECG compression 136\u003c\/p\u003e \u003cp\u003e6.4.4.2. Compression of the ECG in the frequency domain 141\u003c\/p\u003e \u003cp\u003e6.4.5. ECG compression for storage 144\u003c\/p\u003e \u003cp\u003e6.4.5.1. Synchronization and polynomial modeling 145\u003c\/p\u003e \u003cp\u003e6.4.5.2. Synchronization and interleaving 149\u003c\/p\u003e \u003cp\u003e6.4.5.3. Compression of the ECG signal using the JPEG 2000 standard 150\u003c\/p\u003e \u003cp\u003e6.5. Conclusion 150\u003c\/p\u003e \u003cp\u003e6.6. Bibliography 151\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7. Compression of 2D Biomedical Images 155\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eChristine CAVARO-MÉNARD, Amine NAÏT-ALI, Olivier DEFORGES and Marie BABEL\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1. Introduction 155\u003c\/p\u003e \u003cp\u003e7.2. Reversible compression of medical images 156\u003c\/p\u003e \u003cp\u003e7.2.1. Lossless compression by standard methods 156\u003c\/p\u003e \u003cp\u003e7.2.2. Specific methods of lossless compression 157\u003c\/p\u003e \u003cp\u003e7.2.3. Compression based on the region of interest 158\u003c\/p\u003e \u003cp\u003e7.2.4. Conclusion 160\u003c\/p\u003e \u003cp\u003e7.3. Lossy compression of medical images 160\u003c\/p\u003e \u003cp\u003e7.3.1. Quantization of medical images 160\u003c\/p\u003e \u003cp\u003e7.3.1.1. Principles of vector quantization 161\u003c\/p\u003e \u003cp\u003e7.3.1.2. A few illustrations 161\u003c\/p\u003e \u003cp\u003e7.3.1.3. Balanced tree-structured vector quantization 163\u003c\/p\u003e \u003cp\u003e7.3.1.4. Pruned tree-structured vector quantization 163\u003c\/p\u003e \u003cp\u003e7.3.1.5. Other vector quantization methods applied to medical images 163\u003c\/p\u003e \u003cp\u003e7.3.2. DCT-based compression of medical images 164\u003c\/p\u003e \u003cp\u003e7.3.3. JPEG 2000 lossy compression of medical images 167\u003c\/p\u003e \u003cp\u003e7.3.3.1. Optimizing the JPEG 2000 parameters for the compression of medical images 167\u003c\/p\u003e \u003cp\u003e7.3.4. Fractal compression 170\u003c\/p\u003e \u003cp\u003e7.3.5. Some specific compression methods 171\u003c\/p\u003e \u003cp\u003e7.3.5.1. Compression of mammography images 171\u003c\/p\u003e \u003cp\u003e7.3.5.2. Compression of ultrasound images 172\u003c\/p\u003e \u003cp\u003e7.4. Progressive compression of medical images 173\u003c\/p\u003e \u003cp\u003e7.4.1. State-of-the-art progressive medical image compression techniques 173\u003c\/p\u003e \u003cp\u003e7.4.2. LAR progressive compression of medical images 174\u003c\/p\u003e \u003cp\u003e7.4.2.1. Characteristics of the LAR encoding method 174\u003c\/p\u003e \u003cp\u003e7.4.2.2. Progressive LAR encoding 176\u003c\/p\u003e \u003cp\u003e7.4.2.3. Hierarchical region encoding 178\u003c\/p\u003e \u003cp\u003e7.5. Conclusion 181\u003c\/p\u003e \u003cp\u003e7.6. Bibliography 182\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8. Compression of Dynamic and Volumetric Medical Sequences 187\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eAzza OULED ZAID, Christian OLIVIER and Amine NAÏT-ALI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1. Introduction 187\u003c\/p\u003e \u003cp\u003e8.2. Reversible compression of (2D+t) and 3D medical data sets 190\u003c\/p\u003e \u003cp\u003e8.3. Irreversible compression of (2D+t) medical sequences 192\u003c\/p\u003e \u003cp\u003e8.3.1. Intra-frame lossy coding 192\u003c\/p\u003e \u003cp\u003e8.3.2. Inter-frame lossy coding 194\u003c\/p\u003e \u003cp\u003e8.3.2.1. Conventional video coding techniques 194\u003c\/p\u003e \u003cp\u003e8.3.2.2. Modified video coders 195\u003c\/p\u003e \u003cp\u003e8.3.2.3. 2D+t wavelet-based coding systems limits 195\u003c\/p\u003e \u003cp\u003e8.4. Irreversible compression of volumetric medical data sets 196\u003c\/p\u003e \u003cp\u003e8.4.1. Wavelet-based intra coding 196\u003c\/p\u003e \u003cp\u003e8.4.2. Extension of 2D transform-based coders to 3D data 197\u003c\/p\u003e \u003cp\u003e8.4.2.1. 3D DCT coding 197\u003c\/p\u003e \u003cp\u003e8.4.2.2. 3D wavelet-based coding based on scalar or vector quantization 198\u003c\/p\u003e \u003cp\u003e8.4.2.3. Embedded 3D wavelet-based coding 199\u003c\/p\u003e \u003cp\u003e8.4.2.4. Object-based 3D embedded coding 204\u003c\/p\u003e \u003cp\u003e8.4.2.5. Performance assessment of 3D embedded coders 205\u003c\/p\u003e \u003cp\u003e8.5. Conclusion 207\u003c\/p\u003e \u003cp\u003e8.6. Bibliography 208\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9. Compression of Static and Dynamic 3D Surface Meshes 211\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eKhaled MAMOU, Françoise PRÊTEUX, Rémy PROST and Sébastien VALETTE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1. Introduction 211\u003c\/p\u003e \u003cp\u003e9.2. Definitions and properties of triangular meshes 213\u003c\/p\u003e \u003cp\u003e9.3. Compression of static meshes 216\u003c\/p\u003e \u003cp\u003e9.3.1. Single resolution mesh compression 217\u003c\/p\u003e \u003cp\u003e9.3.1.1. Connectivity coding 217\u003c\/p\u003e \u003cp\u003e9.3.1.2. Geometry coding 218\u003c\/p\u003e \u003cp\u003e9.3.2. Multi-resolution compression 219\u003c\/p\u003e \u003cp\u003e9.3.2.1. Mesh simplification methods 219\u003c\/p\u003e \u003cp\u003e9.3.2.2. Spectral methods 219\u003c\/p\u003e \u003cp\u003e9.3.2.3. Wavelet-based approaches 220\u003c\/p\u003e \u003cp\u003e9.4. Compression of dynamic meshes 229\u003c\/p\u003e \u003cp\u003e9.4.1. State of the art 230\u003c\/p\u003e \u003cp\u003e9.4.1.1. Prediction-based techniques 230\u003c\/p\u003e \u003cp\u003e9.4.1.2. Wavelet-based techniques 231\u003c\/p\u003e \u003cp\u003e9.4.1.3. Clustering-based techniques 233\u003c\/p\u003e \u003cp\u003e9.4.1.4. PCA-based techniques 234\u003c\/p\u003e \u003cp\u003e9.4.1.5. Discussion 234\u003c\/p\u003e \u003cp\u003e9.4.2. Application to dynamic 3D pulmonary data in computed tomography 236\u003c\/p\u003e \u003cp\u003e9.4.2.1. Data 236\u003c\/p\u003e \u003cp\u003e9.4.2.2. Proposed approach 237\u003c\/p\u003e \u003cp\u003e9.4.2.3. Results 238\u003c\/p\u003e \u003cp\u003e9.5. Conclusion 239\u003c\/p\u003e \u003cp\u003e9.6. Appendices 240\u003c\/p\u003e \u003cp\u003e9.6.1. Appendix A: mesh via the MC algorithm 240\u003c\/p\u003e \u003cp\u003e9.7. Bibliography 241\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10. Hybrid Coding: Encryption-Watermarking-Compression for Medical Information Security 247\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eWilliam PUECH and Gouenou COATRIEUX\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1. Introduction 247\u003c\/p\u003e \u003cp\u003e10.2. Protection of medical imagery and data 248\u003c\/p\u003e \u003cp\u003e10.2.1. Legislation and patient rights 248\u003c\/p\u003e \u003cp\u003e10.2.2. A wide range of protection measures 249\u003c\/p\u003e \u003cp\u003e10.3. Basics of encryption algorithms 251\u003c\/p\u003e \u003cp\u003e10.3.1. Encryption algorithm classification 251\u003c\/p\u003e \u003cp\u003e10.3.2. The DES encryption algorithm 252\u003c\/p\u003e \u003cp\u003e10.3.3. The AES encryption algorithm 253\u003c\/p\u003e \u003cp\u003e10.3.4. Asymmetric block system: RSA 254\u003c\/p\u003e \u003cp\u003e10.3.5. Algorithms for stream ciphering 255\u003c\/p\u003e \u003cp\u003e10.4. Medical image encryption 257\u003c\/p\u003e \u003cp\u003e10.4.1. Image block encryption 258\u003c\/p\u003e \u003cp\u003e10.4.2. Coding images by asynchronous stream cipher 258\u003c\/p\u003e \u003cp\u003e10.4.3. Applying encryption to medical images 259\u003c\/p\u003e \u003cp\u003e10.4.4. Selective encryption of medical images 261\u003c\/p\u003e \u003cp\u003e10.5. Medical image watermarking and encryption 265\u003c\/p\u003e \u003cp\u003e10.5.1. Image watermarking and health uses 265\u003c\/p\u003e \u003cp\u003e10.5.2. Watermarking techniques and medical imagery 266\u003c\/p\u003e \u003cp\u003e10.5.2.1. Characteristics. 266\u003c\/p\u003e \u003cp\u003e10.5.2.2. The methods 267\u003c\/p\u003e \u003cp\u003e10.5.3. Confidentiality and integrity of medical images by data encryption and data hiding 269\u003c\/p\u003e \u003cp\u003e10.6. Conclusion. 272\u003c\/p\u003e \u003cp\u003e10.7. Bibliography 273\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11. Transmission of Compressed Medical Data on Fixed and Mobile Networks 277\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eChristian OLIVIER, Benoît PARREIN and Rodolphe VAUZELLE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1. Introduction 277\u003c\/p\u003e \u003cp\u003e11.2. Brief overview of the existing applications 278\u003c\/p\u003e \u003cp\u003e11.3. The fixed and mobile networks 279\u003c\/p\u003e \u003cp\u003e11.3.1. The network principles 279\u003c\/p\u003e \u003cp\u003e11.3.1.1. Presentation, definitions and characteristics 279\u003c\/p\u003e \u003cp\u003e11.3.1.2. The different structures and protocols 281\u003c\/p\u003e \u003cp\u003e11.3.1.3. Improving the Quality of Service 281\u003c\/p\u003e \u003cp\u003e11.3.2. Wireless communication systems 282\u003c\/p\u003e \u003cp\u003e11.3.2.1. Presentation of these systems 282\u003c\/p\u003e \u003cp\u003e11.3.2.2. Wireless specificities 284\u003c\/p\u003e \u003cp\u003e11.4. Transmission of medical images 287\u003c\/p\u003e \u003cp\u003e11.4.1. Contexts 287\u003c\/p\u003e \u003cp\u003e11.4.1.1. Transmission inside a hospital 287\u003c\/p\u003e \u003cp\u003e11.4.1.2. Transmission outside hospital on fixed networks 287\u003c\/p\u003e \u003cp\u003e11.4.1.3. Transmission outside hospital on mobile networks 288\u003c\/p\u003e \u003cp\u003e11.4.2. Encountered problems 288\u003c\/p\u003e \u003cp\u003e11.4.2.1. Inside fixed networks 288\u003c\/p\u003e \u003cp\u003e11.4.2.2. Inside mobile networks 289\u003c\/p\u003e \u003cp\u003e11.4.3. Presentation of some solutions and directions 293\u003c\/p\u003e \u003cp\u003e11.4.3.1. Use of error correcting codes 294\u003c\/p\u003e \u003cp\u003e11.4.3.2. Unequal protection using the Mojette transform 297\u003c\/p\u003e \u003cp\u003e11.5. Conclusion 299\u003c\/p\u003e \u003cp\u003e11.6. Bibliography 300\u003c\/p\u003e \u003cp\u003e\u003ci\u003eConclusion 303\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eList of Authors 305\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eIndex 309\u003c\/i\u003e\u003c\/p\u003e","brand":"ISTE Ltd and John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49413704778071,"sku":"9781848210288","price":150.05,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781848210288.jpg?v=1730521105"}],"url":"https:\/\/bookcurl.com\/collections\/image-processing.oembed?page=10","provider":"Book Curl","version":"1.0","type":"link"}