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E-raamat: Color Image Watermarking: Algorithms and Technologies

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Color Image Watermarking: Algorithms and TechnologiesSuurem pilt
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This book presents watermarking algorithms derived from signal processing methods such as wavelet transform, matrix decomposition and cosine transform to address the limitations of current technologies. For each algorithm, mathematical foundations are explained with analysis conducted to evaluate performances on robotness and efficiency. Combining theories and practice, it is suitable for information security researchers and industrial engineers.
Acknowledgments xiii
1 Introduction
1(26)
1.1 The Introduction of Information Hiding Technology
1(4)
1.1.1 The Basic Terminology of Information Hiding Technology
1(2)
1.1.2 The Classification of Information Hiding Technology
3(1)
1.1.3 The Development of Information Hiding Technology
4(1)
1.2 Digital Watermarking Technology
5(14)
1.2.1 The Background of the Digital Watermarking Technology
5(2)
1.2.2 The Basic Concept of Digital Watermarking
7(5)
1.2.3 The Basic Framework of Digital Watermarking
12(1)
1.2.4 The Attack Methods of Digital Watermarking
13(3)
1.2.5 Quality Evaluation of Digital Watermarking
16(3)
1.3 The Research Status of Color Image Digital Watermarking Technology
19(7)
1.3.1 Research Status of Color Image Watermarking Technology Based on Spatial Domain
20(2)
1.3.2 Research Status of Color Image Watermark Technology Based on Frequency Domain
22(3)
1.3.3 Research Status of Color Image Watermarking Technology Based on Color Quantization
25(1)
1.4 Conclusion
26(1)
2 Common Mathematical Knowledge Used in Digital Watermarking
27(26)
2.1 The Common Transforms of Image
27(10)
2.1.1 The Discrete Fourier Transform
27(2)
2.1.2 The Discrete Cosine Transform
29(3)
2.1.3 The Discrete Wavelet Transform
32(5)
2.2 Common Matrix Decomposition
37(15)
2.2.1 Singular Value Decomposition
37(10)
2.2.2 Schur Decomposition
47(1)
2.2.3 QR Decomposition
48(1)
2.2.4 Hessenberg Decomposition
49(3)
2.3 Conclusion
52(1)
3 Color Image
53(21)
3.1 Introduction
53(1)
3.2 The Basic Types of Image
53(3)
3.2.1 Binary Image
54(1)
3.2.2 Gray-Level Image
55(1)
3.2.3 Color Image
56(1)
3.3 The Basic Terminology of Color Images
56(6)
3.3.1 Color Edge
57(1)
3.3.2 Derivative of Color Image
58(1)
3.3.3 Contrast of Color Image
58(2)
3.3.4 Color Constancy
60(1)
3.3.5 Noise in Color Image
61(1)
3.3.6 Luminance, Illuminance, and Brightness of Color Image
61(1)
3.4 Common Color Space of Color Image
62(5)
3.4.1 RGB Color Space
62(3)
3.4.2 YIQ Color Space
65(1)
3.4.3 YUV Color Space
65(2)
3.4.4 YCbCr Color Space
67(1)
3.5 Perception-Based Color Spaces
67(6)
3.5.1 HSI Color Space
67(3)
3.5.2 HSV Color Space
70(3)
3.6 Conclusion
73(1)
4 The Color Image Watermarking Algorithm Based on DC Component
74(13)
4.1 Introduction
74(1)
4.2 The Technique of Modifying DC Coefficient in Spatial Domain
75(4)
4.2.1 Obtaining DC Coefficient in the Spatial Domain
75(1)
4.2.2 The Feasibility of Embedding Watermark with DC Coefficient in Spatial Domain
76(1)
4.2.3 Modifying DC Coefficient in Spatial Domain
77(2)
4.3 The Spatial Watermarking Algorithm Based on DC Coefficient
79(2)
4.3.1 Watermark Generation
79(1)
4.3.2 Watermark Embedding
79(2)
4.3.3 Watermark Extraction
81(1)
4.4 Algorithm Test and Result Analysis
81(4)
4.4.1 Watermark Invisibility Test
82(1)
4.4.2 Watermark Robustness Test
83(2)
4.5 Conclusion
85(2)
5 The Color Image Watermarking Algorithm Based on Integer Wavelet Transform
87(11)
5.1 Introduction
87(1)
5.2 State Coding and IWT
88(2)
5.2.1 State Coding Technique
88(1)
5.2.2 Integer Wavelet Transform
89(1)
5.3 The Color Image Watermarking Algorithm Based on State Coding and IWT
90(3)
5.3.1 Watermark Embedding
90(2)
5.3.2 Watermark Extraction
92(1)
5.4 Experimental Results and Discussion
93(4)
5.4.1 Watermark Invisibility Test
93(1)
5.4.2 Watermark Robustness Test
93(3)
5.4.3 Comparison with Some Related Color Watermarking Algorithms
96(1)
5.5 Conclusion
97(1)
6 The Color Image Watermarking Algorithm Based on Singular Value Decomposition
98(21)
6.1 Introduction
98(2)
6.2 The SVD of Image Block and the Compensation Optimization Method
100(6)
6.2.1 The SVD of Image Block
100(3)
6.2.2 The Proposed Optimization Compensation Method of SVD
103(3)
6.3 The Proposed Color Image Watermarking Algorithm
106(2)
6.3.1 Watermark Embedding
106(1)
6.3.2 Watermark Extraction
107(1)
6.4 Experimental Results and Analysis
108(10)
6.4.1 Test of the Watermark Invisibility
109(1)
6.4.2 Test of the Watermark Robustness
109(9)
6.4.3 The Analysis of False-Positive Detection Problem
118(1)
6.5 Conclusion
118(1)
7 The Color Image Watermarking Algorithm Based on Schur Decomposition
119(16)
7.1 Introduction
119(1)
7.2 The Schur Decomposition of Image Blocks
120(2)
7.3 The Color Image Watermarking Algorithm Based on Schur Decomposition
122(2)
7.3.1 Watermark Embedding
122(1)
7.3.2 Watermark Extraction
123(1)
7.4 Algorithm Test and Result Analysis
124(10)
7.4.1 Test of the Watermark Invisibility
125(1)
7.4.2 Test of the Watermark Robustness
125(7)
7.4.3 Comparison with the Spatial Domain Algorithm
132(2)
7.5 Conclusion
134(1)
8 The Color Image Watermarking Algorithm Based on QR Decomposition
135(20)
8.1 Introduction
135(1)
8.2 The QR Decomposition of Image Block
136(5)
8.2.1 Condition Analysis
136(2)
8.2.2 The Analysis of the Probability
138(3)
8.3 Color Image Watermark Algorithm Based on QR Decomposition
141(3)
8.3.1 Watermark Embedding
141(2)
8.3.2 Watermark Extraction
143(1)
8.4 Experimental Results and Discussion
144(10)
8.4.1 The Selection of Quantization Step
144(1)
8.4.2 Test of the Watermark Invisibility
145(1)
8.4.3 Test of the Watermark Robustness
145(7)
8.4.4 Comparison with the Spatial Domain Algorithm
152(1)
8.4.5 The Execution Time Comparison of Different Algorithms
152(2)
8.5 Conclusion
154(1)
9 The Color Image Watermarking Algorithm Based on Hessenberg Decomposition
155(13)
9.1 Introduction
155(2)
9.2 Hessenberg Transform on Image Block
157(1)
9.3 Proposed Method
158(3)
9.3.1 Watermark Embedding
158(2)
9.3.2 Watermark Extraction
160(1)
9.4 Algorithm Testing and Result Analysis
161(6)
9.4.1 Test of the Watermark Invisibility
162(3)
9.4.2 Test of the Watermark Robustness
165(1)
9.4.3 The Analysis of Watermark Capacity
166(1)
9.4.4 The Analysis of Execution Time
166(1)
9.5 Conclusion
167(1)
10 Summary and Prospect
168(3)
10.1 Summary
168(2)
10.2 Prospect
170(1)
References 171(10)
Index 181
Qingtang Su, Ludong University, Shandong, China.
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