Description

Book Synopsis
Following the success of the first edition, this thoroughly updated second edition of Image Processing: The Fundamentals will ensure that it remains the ideal text for anyone seeking an introduction to the essential concepts of image processing. New material includes image processing and colour, sine and cosine transforms, Independent Component Analysis (ICA), phase congruency and the monogenic signal and several other new topics. These updates are combined with coverage of classic topics in image processing, such as orthogonal transforms and image enhancement, making this a truly comprehensive text on the subject.

Key features:

  • Presents material at two levels of difficulty: the main text addresses the fundamental concepts and presents a broad view of image processing, whilst more advanced material is interleaved in boxes throughout the text, providing further reference for those who wish to examine each technique in depth.
  • Contains a larg

    Trade Review

    "Although many books are available in the area of image processing, this book Image Processing, the Fundamentals by Maria Petrou and Costas Petrou explains this subject in a distinctive way. In this book, the authors have attempted to capture new insights with a lot of examples in all the fundamental topics of image processing." (IAPR Newsletter, 1 January 2011)

    "This book is an ideal teaching resource for both undergraduate and postgraduate students. It will also be of value to researchers of various disciplines from medicine to mathematics with a professional interest in image processing." (Zentralblatt MATH, 2010)



    Table of Contents

    Preface xxiii

    1 Introduction 1

    2 Image Transformations 47

    2.1 Singular value decomposition 51

    2.2 Haar, Walsh and Hadamard transforms 74

    2.3 Discrete Fourier transform 94

    2.4 The even symmetric discrete cosine transform (EDCT) 138

    2.5 The odd symmetric discrete cosine transform (ODCT) 149

    2.6 The even antisymmetric discrete sine transform (EDST) 157

    2.7 The odd antisymmetric discrete sine transform (ODST) 167

    3 Statistical Description of Images 177

    3.1 Random fields 178

    3.2 Karhunen-Loeve transform 201

    3.3 Independent component analysis 234

    4 Image Enhancement 293

    4.1 Elements of linear filter theory 294

    4.2 Reducing high frequency noise 311

    4.3 Reducing low frequency interference 351

    4.4 Histogram manipulation 367

    4.5 Generic deblurring algorithms 383

    5 Image Restoration 395

    5.1 Homogeneous linear image restoration: inverse filtering 396

    5.2 Homogeneous linear image restoration: Wiener filtering 419

    5.3 Homogeneous linear image restoration: Constrained matrix inversion 436

    5.4 Inhomogeneous linear image restoration: the whirl transform 468

    5.5 Nonlinear image restoration: MAP estimation 490

    5.6 Geometric image restoration 513

    6 Image Segmentation and Edge Detection 527

    6.1 Image segmentation 528

    6.2 Edge detection 591

    6.3 Phase congruency and the monogenic signal 625

    7 Image Processing for Multispectral Images 669

    7.1 Image preprocessing for multispectral images 671

    7.2 The physics and psychophysics of colour vision 700

    7.3 Colour image processing in practice 742

    Bibliographical notes 775

    References 777

    Index 781

Image Processing

    Product form

    £64.55

    Includes FREE delivery

    RRP £67.95 – you save £3.40 (5%)

    Order before 4pm tomorrow for delivery by Mon 6 Jul 2026.

    A Hardback by Maria M. P. Petrou, Costas Petrou

    5 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Image Processing by Maria M. P. Petrou

      Publisher: John Wiley & Sons Inc
      Publication Date: 09/04/2010
      ISBN13: 9780470745861, 978-0470745861
      ISBN10: 047074586X

      Description

      Book Synopsis
      Following the success of the first edition, this thoroughly updated second edition of Image Processing: The Fundamentals will ensure that it remains the ideal text for anyone seeking an introduction to the essential concepts of image processing. New material includes image processing and colour, sine and cosine transforms, Independent Component Analysis (ICA), phase congruency and the monogenic signal and several other new topics. These updates are combined with coverage of classic topics in image processing, such as orthogonal transforms and image enhancement, making this a truly comprehensive text on the subject.

      Key features:

      • Presents material at two levels of difficulty: the main text addresses the fundamental concepts and presents a broad view of image processing, whilst more advanced material is interleaved in boxes throughout the text, providing further reference for those who wish to examine each technique in depth.
      • Contains a larg

        Trade Review

        "Although many books are available in the area of image processing, this book Image Processing, the Fundamentals by Maria Petrou and Costas Petrou explains this subject in a distinctive way. In this book, the authors have attempted to capture new insights with a lot of examples in all the fundamental topics of image processing." (IAPR Newsletter, 1 January 2011)

        "This book is an ideal teaching resource for both undergraduate and postgraduate students. It will also be of value to researchers of various disciplines from medicine to mathematics with a professional interest in image processing." (Zentralblatt MATH, 2010)



        Table of Contents

        Preface xxiii

        1 Introduction 1

        2 Image Transformations 47

        2.1 Singular value decomposition 51

        2.2 Haar, Walsh and Hadamard transforms 74

        2.3 Discrete Fourier transform 94

        2.4 The even symmetric discrete cosine transform (EDCT) 138

        2.5 The odd symmetric discrete cosine transform (ODCT) 149

        2.6 The even antisymmetric discrete sine transform (EDST) 157

        2.7 The odd antisymmetric discrete sine transform (ODST) 167

        3 Statistical Description of Images 177

        3.1 Random fields 178

        3.2 Karhunen-Loeve transform 201

        3.3 Independent component analysis 234

        4 Image Enhancement 293

        4.1 Elements of linear filter theory 294

        4.2 Reducing high frequency noise 311

        4.3 Reducing low frequency interference 351

        4.4 Histogram manipulation 367

        4.5 Generic deblurring algorithms 383

        5 Image Restoration 395

        5.1 Homogeneous linear image restoration: inverse filtering 396

        5.2 Homogeneous linear image restoration: Wiener filtering 419

        5.3 Homogeneous linear image restoration: Constrained matrix inversion 436

        5.4 Inhomogeneous linear image restoration: the whirl transform 468

        5.5 Nonlinear image restoration: MAP estimation 490

        5.6 Geometric image restoration 513

        6 Image Segmentation and Edge Detection 527

        6.1 Image segmentation 528

        6.2 Edge detection 591

        6.3 Phase congruency and the monogenic signal 625

        7 Image Processing for Multispectral Images 669

        7.1 Image preprocessing for multispectral images 671

        7.2 The physics and psychophysics of colour vision 700

        7.3 Colour image processing in practice 742

        Bibliographical notes 775

        References 777

        Index 781

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account