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E-raamat: Digital Image Watermarking: Theoretical and Computational Advances

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(C. U. Shah University, Wadhwan City, INDIA), (JIS University, Kolkata), (K.S. Institute of Technology, Bangalore, INDIA)
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Digital Image Watermarking: Theoretical and Computational AdvancesSuurem pilt
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While there are many spatial/frequency domain watermarking techniques, optimization is a commonly encountered mathematical problem in data security related issues. The research on new embedding domains, hardware implementations and bio-inspired algorithms for optimization problems is on rise as natural computing is able to solve computationally complex problems. This book covers the introduction of and state-of-the-art watermarking techniques developed in various domains along with their hardware implementations explaining how bio-inspiring techniques can find optimum solutions in relevant issues. It also include the applications, challenges faced by such algorithms and future research.
Preface ix
Authors xi
Abbreviations xiii
Chapter 1 Introduction
1(24)
1.1 Digital Rights Management
2(2)
1.2 Digital Image Watermarking
4(1)
1.3 Classification of Copyright Marking
5(6)
1.4 General Framework of Digital Watermarking
11(1)
1.5 Performance Criteria
12(3)
1.6 Performance Metrics
15(1)
1.7 Attacks on Watermarks
16(3)
1.8 Digital Image Watermarking Tools
19(6)
References
22(3)
Chapter 2 Advanced Watermarking Techniques
25(46)
2.1 Introduction
26(2)
2.2 Watermarking in the Spatial Domain
28(5)
2.2.1 Least-Significant-Bit Substitution Technique
29(1)
2.2.2 Patchwork Technique
29(1)
2.2.3 Texture Mapping Coding Technique
30(1)
2.2.4 Predictive Coding Technique
30(1)
2.2.5 Additive Watermarking Technique
31(1)
2.2.6 Other Spatial Domain Watermarking Techniques
32(1)
2.3 Watermarking In The Transform Domain
33(1)
2.4 Watermarking In The Discrete Cosine Transform
34(3)
2.5 Watermarking In The Discrete Wavelet Transform
37(1)
2.6 Watermarking Using Singular Value Decomposition
38(2)
2.7 Compressive Sensing And Qr Decomposition Methods
40(1)
2.8 Schur Decomposition-Based Watermarking
41(1)
2.9 Hessenberg Matrix Factorization In Watermarking
41(1)
2.10 Visible And Reversible Watermarking
42(2)
2.11 Machine Learning-Based Image Watermarking
44(13)
2.12 Challenges
57(14)
References
57(14)
Chapter 3 Watermarking Using Bio-Inspired Algorithms
71(36)
3.1 Optimization And Its Application To Digital Image Watermarking
72(2)
3.2 Image Watermarking Using Genetic Algorithm (Ga) And Genetic Programming
74(6)
3.3 Image Watermarking Using Differential Evolution (De)
80(1)
3.4 Image Watermarking Using Swarm Algorithms
81(4)
3.4.1 Image Watermarking Using Ant Colony And Bee Colony
84(1)
3.4.2 Image Watermarking Using Cuckoo Search Algorithm
85(12)
3.4.3 Image Watermarking Using Particle Swarm Optimization
88(2)
3.4.4 Image Watermarking Using Firefly Algorithm
90(7)
3.5 Image Watermarking Using Simulated Annealing (Sa)
97(1)
3.6 Image Watermarking Using Tabu Search
98(9)
References
99(8)
Chapter 4 Hardware-Based Implementation Of Watermarking
107(26)
4.1 Introduction
108(1)
4.2 Hardware-Based Implementation Of Digital Image Watermarking
109(7)
4.2.1 Hardware-Based Implementation Of Watermarking Using Dsp Boards
111(1)
4.2.2 Hardware-Based Implementation Of Watermarking Using Fpga/Asic Chip
112(1)
4.2.3 Hardware-Software Co-Simulation
113(3)
4.3 Performance Of Hardware-Based Implementation
116(10)
4.4 Challenges And Future Directions
126(7)
References
127(6)
Chapter 5 Applied Examples And Future Prospectives
133(10)
5.1 Applications Of Watermarking
134(2)
5.2 Watermarking In Telemedicine
136(1)
5.3 Role Of Watermarking In Remote-Sensing Military
137(2)
5.4 Industrial And Miscellaneous Applications
139(1)
5.5 Future Prospectives
139(4)
References
141(2)
Chapter 6 Case Study
143(14)
6.1 Embedding Algorithm
144(2)
6.2 Extraction Algorithm
146(1)
6.3 Simulation Results
147(2)
6.4 Main Features Of Proposed Scheme
149(8)
References
154(3)
Index 157
Surekha Borra, Rohit Thanki, Nilanjan Dey
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