Description

Book Synopsis

This book intends to provide a comprehensive overview on different aspects of mechanisms and techniques for information security. It is written for students, researchers, and professionals studying in the field of multimedia security and steganography. Multimedia security and steganography is especially relevant due to the global scale of digital multimedia and the rapid growth of the Internet. Digital watermarking technology can be used to guarantee authenticity and can be applied as proof that the content has not been altered since insertion. Updated techniques and advances in watermarking are explored in this new edition. The combinational spatial and frequency domains watermarking technique provides a new concept of enlarging the embedding capacity of watermarks. The genetic algorithm (GA) based watermarking technique solves the rounding error problem and provide an efficient embedding approach. Each chapter provides the reader with a fundamental, theoretical framework, while de

Trade Review

"This book covers a wide range of the digital image data hiding field. Reversible and irreversible digital image watermarking techniques applied to spatial, frequency, and compressed domains are extensively presented. Especially, the author shows how intelligent techniques such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) can be applied to image watermarking. Also, machine learning techniques such as Support Vector Machines (SVMs), Artificial Neural Networks (ANNs), and Principle Component Analysis (PCA) applied to Steganalysis are considered. This book is highly recommended for students, researchers, and professionals who are interested and seeking for state-of-the-art and intelligent techniques in the watermarking and steganography field."
Duc The Kieu, The University of the West Indies, Trinidad and Tobago

"The materials covered by the book contain most of the important knowledge and techniques in the topic. The mentioned contents range from explanation of concepts to construction of processing systems. This comprehensive book should be of great interest to those learning watermarking and steganography."
I-Cheng Chang, National Dong Hwa University, Taiwan



Table of Contents

Preface

Acknowledgments

Author

Chapter 1 Introduction

Chapter 2 Classification in Digital Watermarking

Chapter 3 Mathematical Preliminaries

Chapter 4 Digital Watermarking Fundamentals

Chapter 5 Watermarking Attacks and Tools

Chapter 6 Combinational Domain Digital Watermarking

Chapter 7 Watermarking Based on Genetic Algorithms

Chapter 8 Adjusted-Purpose Watermarking

Chapter 9 High-Capacity Watermarking

Chapter 10 Reversible Watermarking

Chapter 11 Steganography and Steganalysis

Chapter 12 Steganography Based on Genetic Algorithms and Differential Evolution

Index

Digital Watermarking and Steganography

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    £149.75

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    Order before 4pm tomorrow for delivery by Tue 18 Aug 2026.

    A Hardback by Frank Y. Shih

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      View other formats and editions of Digital Watermarking and Steganography by Frank Y. Shih

      Publisher: Taylor & Francis Inc
      Publication Date: Publication Date: 26/04/2017
      ISBN13: 9781498738767, 978-1498738767
      ISBN10: 1498738761

      Description

      Book Synopsis

      This book intends to provide a comprehensive overview on different aspects of mechanisms and techniques for information security. It is written for students, researchers, and professionals studying in the field of multimedia security and steganography. Multimedia security and steganography is especially relevant due to the global scale of digital multimedia and the rapid growth of the Internet. Digital watermarking technology can be used to guarantee authenticity and can be applied as proof that the content has not been altered since insertion. Updated techniques and advances in watermarking are explored in this new edition. The combinational spatial and frequency domains watermarking technique provides a new concept of enlarging the embedding capacity of watermarks. The genetic algorithm (GA) based watermarking technique solves the rounding error problem and provide an efficient embedding approach. Each chapter provides the reader with a fundamental, theoretical framework, while de

      Trade Review

      "This book covers a wide range of the digital image data hiding field. Reversible and irreversible digital image watermarking techniques applied to spatial, frequency, and compressed domains are extensively presented. Especially, the author shows how intelligent techniques such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) can be applied to image watermarking. Also, machine learning techniques such as Support Vector Machines (SVMs), Artificial Neural Networks (ANNs), and Principle Component Analysis (PCA) applied to Steganalysis are considered. This book is highly recommended for students, researchers, and professionals who are interested and seeking for state-of-the-art and intelligent techniques in the watermarking and steganography field."
      Duc The Kieu, The University of the West Indies, Trinidad and Tobago

      "The materials covered by the book contain most of the important knowledge and techniques in the topic. The mentioned contents range from explanation of concepts to construction of processing systems. This comprehensive book should be of great interest to those learning watermarking and steganography."
      I-Cheng Chang, National Dong Hwa University, Taiwan



      Table of Contents

      Preface

      Acknowledgments

      Author

      Chapter 1 Introduction

      Chapter 2 Classification in Digital Watermarking

      Chapter 3 Mathematical Preliminaries

      Chapter 4 Digital Watermarking Fundamentals

      Chapter 5 Watermarking Attacks and Tools

      Chapter 6 Combinational Domain Digital Watermarking

      Chapter 7 Watermarking Based on Genetic Algorithms

      Chapter 8 Adjusted-Purpose Watermarking

      Chapter 9 High-Capacity Watermarking

      Chapter 10 Reversible Watermarking

      Chapter 11 Steganography and Steganalysis

      Chapter 12 Steganography Based on Genetic Algorithms and Differential Evolution

      Index

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