Lossless Information Hiding in Images - 1st Edition - ISBN: 9780128120064, 9780128121665

Lossless Information Hiding in Images

1st Edition

Authors: Zhe-Ming Lu Shi-Ze Guo
eBook ISBN: 9780128121665
Paperback ISBN: 9780128120064
Imprint: Syngress
Published Date: 11th November 2016
Page Count: 432
Tax/VAT will be calculated at check-out Price includes VAT (GST)
30% off
30% off
30% off
30% off
30% off
20% off
20% off
30% off
30% off
30% off
30% off
30% off
20% off
20% off
30% off
30% off
30% off
30% off
30% off
20% off
20% off
50.95
35.66
35.66
35.66
35.66
35.66
40.76
40.76
42.99
30.09
30.09
30.09
30.09
30.09
34.39
34.39
69.95
48.97
48.97
48.97
48.97
48.97
55.96
55.96
Unavailable
Price includes VAT (GST)
× DRM-Free

Easy - Download and start reading immediately. There’s no activation process to access eBooks; all eBooks are fully searchable, and enabled for copying, pasting, and printing.

Flexible - Read on multiple operating systems and devices. Easily read eBooks on smart phones, computers, or any eBook readers, including Kindle.

Open - Buy once, receive and download all available eBook formats, including PDF, EPUB, and Mobi (for Kindle).

Institutional Access

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Description

Lossless Information Hiding in Images introduces many state-of-the-art lossless hiding schemes, most of which come from the authors' publications in the past five years. After reading this book, readers will be able to immediately grasp the status, the typical algorithms, and the trend of the field of lossless information hiding.

Lossless information hiding is a technique that enables images to be authenticated and then restored to their original forms by removing the watermark and replacing overridden images. This book focuses on the lossless information hiding in our most popular media, images, classifying them in three categories, i.e., spatial domain based, transform domain based, and compressed domain based. Furthermore, the compressed domain based methods are classified into VQ based, BTC based, and JPEG/JPEG2000 based.

Key Features

  • Focuses specifically on lossless information hiding for images
  • Covers the most common visual medium, images, and the most common compression schemes, JPEG and JPEG 2000
  • Includes recent state-of-the-art techniques in the field of lossless image watermarking
  • Presents many lossless hiding schemes, most of which come from the authors' publications in the past five years

Readership

Researchers, students and teachers in the fields of information security, image processing, information hiding and communications. This book can guide engineers to design a suitable hiding scheme for their special purpose, such as copyright protection, content authentication and secret communication in the fields of military, medicine and law, etc.

Table of Contents

  • Preface
  • Chapter 1. Introduction
    • 1.1. Background
    • 1.2. Overview of Information Hiding
    • 1.3. Overview of Image Coding and Compression Techniques
    • 1.4. Overview of Information Hiding Techniques for Images
    • 1.5. Applications of Lossless Information Hiding in Images
    • 1.6. Main Content of This Book
  • Chapter 2. Lossless Information Hiding in Images on the Spatial Domain
    • 2.1. Overview of Spatial Domain–Based Information Hiding
    • 2.2. Modulo Addition–Based Scheme
    • 2.3. Difference Expansion–Based Schemes
    • 2.4. Histogram Modification–Based Schemes
    • 2.5. Lossless Compression–Based Schemes
    • 2.6. Reversible Secret Sharing–Based Schemes
    • 2.7. Summary
  • Chapter 3. Lossless Information Hiding in Images on Transform Domains
    • 3.1. Introduction
    • 3.2. Overview of Transform-Based Information Hiding
    • 3.3. Integer Discrete Cosine Transform–Based Schemes
    • 3.4. Integer Wavelet Transform–Based Schemes
    • 3.5. Summary
  • Chapter 4. Lossless Information Hiding in Vector Quantization Compressed Images
    • 4.1. Introduction
    • 4.2. Overview of Vector Quantization–Based Information Hiding
    • 4.3. Modified Fast Correlation Vector Quantization–Based Scheme
    • 4.4. Side Match Vector Quantization–Based Schemes
    • 4.5. Vector Quantization–Index Coding–Based Schemes
    • 4.6. Summary
  • Chapter 5. Lossless Information Hiding in Block Truncation Coding–Compressed Images
    • 5.1. Block Truncation Coding
    • 5.2. Overview of Block Truncation Coding–Based Information Hiding
    • 5.3. Bitplane Flipping–Based Lossless Hiding Schemes
    • 5.4. Mean Coding–Based Lossless Hiding Schemes
    • 5.5. Lossless Data Hiding in Block Truncation Coding–Compressed Color Images
    • 5.6. Summary
  • Chapter 6. Lossless Information Hiding in JPEG- and JPEG2000-Compressed Images
    • 6.1. Introduction
    • 6.2. Lossless Information Hiding in JPEG Images
    • 6.3. Lossless Information Hiding in JPEG2000 Images
    • 6.4. Summary
  • Index

Details

No. of pages:
432
Language:
English
Copyright:
© Syngress 2017
Published:
Imprint:
Syngress
eBook ISBN:
9780128121665
Paperback ISBN:
9780128120064

About the Author

Zhe-Ming Lu

Prof. Zhe-Ming Lu is currently the IEEE senior member and the Professor in Zhejiang University. He received the B.S. and M.S. degrees in electrical engineering and the Ph.D. degree in measurement technology and instrumentation from the Harbin Institute of Technology (HIT), Harbin, China, in 1995, 1997, and 2001, respectively. He became a Lecturer with HIT in 1999. Since 2003, he has been a Professor with the Department of Automatic Test and Control, HIT. He is currently a Full Professor with the School of Aeronautics and Astronautics, Zhejiang University. In the areas of multimedia signal processing and information hiding, he has published more than 250 papers, seven monographs in Chinese, one monograph in English and three book chapters in English. His current research interests include multimedia signal processing, information security, and complex networks

Affiliations and Expertise

Professor, School of Aeronautics and Astronautics, Zhejiang University, China

Shi-Ze Guo

Prof. Shi-Ze Guo is currently the assistant of the Director of One of Research Institutes of The General Staff Headquarters, and the part-time Professor in Beijing University of Posts and Communications. He received the Ph.D. degree in measurement technology and instrumentation from the Harbin Institute of Technology (HIT), Harbin, China, in 1994. He is currently also the part-time Professor in University of Science and Technology of China, Zhejiang University and Wuhan University. His current research interests include network security, information security, and complex networks. He has undertaken many national and military projects. He won the second prize of Science and Technology of China for four times, the first prize of Science and Technology of Army for 8 times. He won the Qiushi Excellent Youth Award of China Association for Science and Technology in 2011, and the 11th Chinese Youth Award of Science and Technology in 2009. He has published 2 edited books and 50 papers in the area of Information and Network Security.

Affiliations and Expertise

Professor, School of Computer Science, Beijing University of Posts and Communications, Beijing, China