Color Image Watermarking: Algorithms and Technologies

✍ Scribed by Qingtang Su; Tsinghua University Press

• Publisher: De Gruyter
• Year: 2016
• Tongue: English
• Leaves: 200
• Series: Advances in Computer Science; 1
• Category: Library

✦ Synopsis

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.

• Explores watermarking algorithms and performance analysis.
• Proposes novel algorithms with improved performance.
• A nice balance of theories and industrial applications.

✦ Table of Contents

Preface
Contents
Acknowledgments
1 Introduction
1.1 The Introduction of Information Hiding Technology
1.1.1 The Basic Terminology of Information Hiding Technology
1.1.2 The Classification of Information Hiding Technology
1.1.3 The Development of Information Hiding Technology
1.2 Digital Watermarking Technology
1.2.1 The Background of the Digital Watermarking Technology
1.2.2 The Basic Concept of Digital Watermarking
1.2.3 The Basic Framework of Digital Watermarking
1.2.4 The Attack Methods of Digital Watermarking
1.2.5 Quality Evaluation of Digital Watermarking
1.3 The Research Status of Color Image Digital Watermarking Technology
1.3.1 Research Status of Color Image Watermarking Technology Based on Spatial Domain
1.3.2 Research Status of Color Image Watermark Technology Based on Frequency Domain
1.3.3 Research Status of Color Image Watermarking Technology Based on Color Quantization
1.4 Conclusion
2 Common Mathematical Knowledge Used in Digital Watermarking
2.1 The Common Transforms of Image
2.1.1 The Discrete Fourier Transform
2.1.2 The Discrete Cosine Transform
2.1.3 The Discrete Wavelet Transform
2.2 Common Matrix Decomposition
2.2.1 Singular Value Decomposition
2.2.2 Schur Decomposition
2.2.3 QR Decomposition
2.2.4 Hessenberg Decomposition
2.3 Conclusion
3 Color Image
3.1 Introduction
3.2 The Basic Types of Image
3.2.1 Binary Image
3.2.2 Gray-Level Image
3.2.3 Color Image
3.3 The Basic Terminology of Color Images
3.3.1 Color Edge
3.3.2 Derivative of Color Image
3.3.3 Contrast of Color Image
3.3.4 Color Constancy
3.3.5 Noise in Color Image
3.3.6 Luminance, Illuminance, and Brightness of Color Image
3.4 Common Color Space of Color Image
3.4.1 RGB Color Space
3.4.2 YIQ Color Space
3.4.3 YUV Color Space
3.4.4 YCbCr Color Space
3.5 Perception-Based Color Spaces
3.5.1 HSI Color Space
3.5.2 HSV Color Space
3.6 Conclusion
4 The Color Image Watermarking Algorithm Based on DC Component
4.1 Introduction
4.2 The Technique of Modifying DC Coefficient in Spatial Domain
4.2.1 Obtaining DC Coefficient in the Spatial Domain
4.2.2 The Feasibility of Embedding Watermark with DC Coefficient in Spatial Domain
4.2.3 Modifying DC Coefficient in Spatial Domain
4.3 The Spatial Watermarking Algorithm Based on DC Coefficient
4.3.1 Watermark Generation
4.3.2 Watermark Embedding
4.3.3 Watermark Extraction
4.4 Algorithm Test and Result Analysis
4.4.1 Watermark Invisibility Test
4.4.2 Watermark Robustness Test
4.5 Conclusion
5 The Color Image Watermarking Algorithm Based on Integer Wavelet Transform
5.1 Introduction
5.2 State Coding and IWT
5.2.1 State Coding Technique
5.2.2 Integer Wavelet Transform
5.3 The Color Image Watermarking Algorithm Based on State Coding and IWT
5.3.1 Watermark Embedding
5.3.2 Watermark Extraction
5.4 Experimental Results and Discussion
5.4.1 Watermark Invisibility Test
5.4.2 Watermark Robustness Test
5.4.3 Comparison with Some Related Color Watermarking Algorithms
5.5 Conclusion
6 The Color Image Watermarking Algorithm Based on Singular Value Decomposition
6.1 Introduction
6.2 The SVD of Image Block and the Compensation Optimization Method
6.2.1 The SVD of Image Block
6.2.2 The Proposed Optimization Compensation Method of SVD
6.3 The Proposed Color Image Watermarking Algorithm
6.3.1 Watermark Embedding
6.3.2 Watermark Extraction
6.4 Experimental Results and Analysis
6.4.1 Test of the Watermark Invisibility
6.4.2 Test of the Watermark Robustness
6.4.3 The Analysis of False-Positive Detection Problem
6.5 Conclusion
7 The Color Image Watermarking Algorithm Based on Schur Decomposition
7.1 Introduction
7.2 The Schur Decomposition of Image Blocks
7.3 The Color Image Watermarking Algorithm Based on Schur Decomposition
7.3.1 Watermark Embedding
7.3.2 Watermark Extraction
7.4 Algorithm Test and Result Analysis
7.4.1 Test of the
7.4.2 Test of the
7.4.3 Comparison with the Spatial Domain Algorithm
7.5 Conclusion
8 The Color Image Watermarking Algorithm Based on QR Decomposition
8.1 Introduction
8.2 The QR Decomposition of Image Block
8.2.1 Condition Analysis
8.2.2 The Analysis of the Probability
8.3 Color Image Watermark Algorithm Based on QR Decomposition
8.3.1 Watermark Embedding
8.3.2 Watermark Extraction
8.4 Experimental Results and Discussion
8.4.1 The Selection of Quantization Step
8.4.2 Test of the Watermark Invisibility
8.4.3 Test of the Watermark Robustness
8.4.4 Comparison with the Spatial Domain Algorithm
8.4.5 The Execution Time Comparison of Different Algorithms
8.5 Conclusion
9 The Color Image Watermarking Algorithm Based on Hessenberg Decomposition
9.1 Introduction
9.2 Hessenberg Transform on Image Block
9.3 Proposed Method
9.3.1 Watermark Embedding
9.3.2 Watermark Extraction
9.4 Algorithm Testing and Result Analysis
9.4.1 Test of the Watermark Invisibility
9.4.2 Test of the Watermark Robustness
9.4.3 The Analysis of Watermark Capacity
9.4.4 The Analysis of Execution Time
9.5 Conclusion
10 Summary and Prospect
10.1 Summary
10.2 Prospect
References
Index