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| DATA HIDING FUNDAMENTALS AND APPLICATIONS
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Content Security in Digital Multimedia
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By
Husrev Sencar, New Jersey Institute of Technology, Newark, New Jersey
Mahalingam Ramkumar, Polytechnic University, Brooklyn, New York
Ali Akansu, New Jersey Institute of Technology, Newark, New Jersey
Description
Multimedia technologies are becoming more sophisticated, enabling the Internet to accommodate a rapidly growing audience with a full range
of services and efficient delivery methods. Although the Internet now puts communication, education, commerce and socialization at our
finger tips, its rapid growth has raised some weighty security concerns with respect to multimedia content. The owners of this content
face enormous challenges in safeguarding their intellectual property, while still exploiting the Internet as an important resource for
commerce.
Data Hiding Fundamentals and Applications focuses on the theory and state-of-the-art applications of content security and
data hiding in digital multimedia. One of the pillars of content security solutions is the imperceptible insertion of information into
multimedia data for security purposes; the idea is that this inserted information will allow detection of unauthorized usage.
Audience
Engineers, computer scientists, and students doing research in multimedia signal processing, content security, and digital rights management (DRM) systems.
Contents
Preface
1. Introduction
1.1 What is Data Hiding?
1.2 Forms of Data Hiding
1.3 Properties of Steganographic Communications
1.4 The Steganographic
Channel
2. Frameworks for Data Hiding
2.1 Signal Processing Framework
2.2 Data Hiding from a Communications Perspective
2.3 Relationship
Between Communications and Signal Processing Frameworks
2.4 A Review of Data Hiding Methods
3. Communication with Side Information and
Data Hiding
3.1 Costa?s Framework
3.2 A Framework Based on Channel Adaptive Encoding and Channel Independent Decoding
3.3 On the Duality
of Communications and Data Hiding Frameworks
3.4 Codebook Generation for Data Hiding Methods
4. Type I (Linear) Data Hiding
4.1 Linear
Data Hiding in Transform Domain
4.2 Problem Statement
4.3 Capacity of Additive Noise Channels
4.4 Modeling Channel Noise
4.5 Visual Threshold
4.6 Channel Capacity vs. Choice of Transform
4.7 Some Capacity Results and Discussions
4.8 The Ideal Decomposition
4.9 Factors Influencing
Choice of Transform
5. Type II and Type III (Nonlinear) Data Hiding Methods
5.1 Type II Embedding and Detection
5.2 Type III Embedding
and Detection Methods
5.3 Performance Comparisons
6. Advanced Implementations
6.1 Spread Transforming
6.2 Multiple Codebook Data Hiding
7. Major Design Issues
7.1 DFT-Based Signaling
7.2 Synchronization
7.3 Perceptual Constraints
7.4 Attacks on Data Hiding Systems
8.
Data Hiding Applications
8.1 Design of Data Hiding Methods Robust to Lossy Compression
8.2 Type III Hiding for Lossy Compression
8.3
Watermarking for Ownership
Appendix A
Appendix B
Mathematical Proofs
Bibliography
Index:
| Bibliographic details |
Hardbound, 272 pages, publication date: AUG-2004
ISBN-13: 978-0-12-047144-7
ISBN-10: 0-12-047144-2
Imprint: ACADEMIC PRESS
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Last update: 22 Sep 2009
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