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Title of Thesis

Intelligent Perceptual Shaping of a Digital Watermark

Author(s)

Asifullah Khan

Institute/University/Department Details
Faculty of Computer Science and Engineering / Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi
Session
2006
Subject
Computer Science
Number of Pages
97
Keywords (Extracted from title, table of contents and abstract of thesis)
Watermark, Sophisticated, Contradicting, Inevolving, Perceptual, Authentication, Robustness, Imperceptibility, Effectiveness, Digital

Abstract
Embedding of a digital watermark in a digital media is proving to be a workable solution for many of the recent problems like copyright protections and content authentication. However, the embedding of a digital watermark in a digital media is not without constraints. This requires perceptual shaping of a watermark in context of Human Visual System (HVS). The goal of this thesis is to develop a new watermarking scheme based on intelligent shaping of a digital watermark using GP. To achieve this goal, the research focuses on making efficient tradeoffs between two of the most important, but contradicting properties of a watermarking system; robustness and imperceptibility.
This thesis makes the following contributions: (1) An analysis of the importance of perceptual shaping of a watermark in making a trade off between robustness and imperceptibility is performed, (2) intelligent search technique, like GP, is used to exploit the characteristics of HVS inevolving superior perceptual shaping functions, (3) the concept of bonus fitness has been proposed to implement multi-objective fitness function, in the GP simulation. This helps in simultaneously handling the estimated robustness and imperceptibility requirements during embedding stage, and actual robustness during decoding stage, (4) we realize that perceptual shaping of a watermark is not only important for making a superior trade off, but could also be used to tailor the watermark in accordance to an anticipated attack, (5) watermarking systems are becoming more and more sophisticated, as such this thesis, using intelligent search technique like GP, points towards the solution strategy of many complex issues in watermarking that are difficult to be computed analytically. A series of empirical investigations are performed to analyze the performance of the genetically evolved perceptual shaping functions (GPSFs) using standard benchmark, which shows the effectiveness of our approach.

Download Full Thesis
1,775 KB
S. No. Chapter Title of the Chapters Page Size (KB)
1 0 CONTENTS vi
176 KB
2 1 INTELLIGENT PERCEPTUAL SHAPING OF A DIGITAL WATERMARK

1.1  Research Perspective
1.2  Contributions
1.3  Structure of the thesis

17
160 KB
3

2

BASICS OF DIGITAL WATERMARKING AND MACHINE LEARNING

2.1 Digital Watermarking
2.2       Perceptual Shaping of a Digital Watermark
2.3 Evolutionary Algorithms: Computational Intelligence-based Approaches
2.4 Machine Learning: The Basic Concep
2.5 Genetic Perceptual Shaping Scheme (GPSS)

20
364 KB
4 3 PERCEPTUAL SHAPING OF FULL FRAME DCT DOMAIN-BASED WATERMARK

3.1 Introduction
3.2 Full Frame DCT-domain Watermarking Scheme
3.3 Proposed Technique for Optimizing Perceptual Shaping of Watermark
3.4 Implementation Details
3.5 Results and Discussion
3.6 Conclusions

36
497 KB
5 4 PERCEPTUAL SHAPING OF BLOCK-BASED DCT-DOMAIN WATERMARKING SCHEME

4.1 Introduction
4.2 Proposed Technique for Developing a GPSF
4.3 Implementation Details
4.4 Results and Discussions
4.5 Conclusions

48
588 KB
6 5 EXPLOITING ATTACK INFORMATION DURING WATERMARK SHAPING

5.1 Introduction
5.2 Proposed Technique for Developing a GPSF
5.3 Implementation Details
5.4 Results and Discussion
5.5 Conclusions

61
745 KB
7 6 ACHIEVING ROBUSTNESS AGAINST A CASCADE OF CONCEIVABLE ATTACKS DURING WATERMARK SHAPING

6.1 Introduction
6.2 Proposed Attack-resistant Perceptual Shaping
6.3 Implementation Details
6.4 Results and Discussion
6.5 Conclusions

78
608 KB
8 7 CONCLUSIONS

7.1 Contributions: Details in reference to individual chapters
7.2 Future Work
 

89
169 KB
9 8 REFERENCES

92


191 KB