Chapter 1. Two-Dimensional Signals and Systems
1.1 Two-Dimensional Signals
1.2 2-D Discrete-Space Fourier Transform
Conclusions
Problems
References
Chapter 2. Sampling in Two Dimensions
2.1 Sampling Theorem—Rectangular Case
2.2 Sampling Theorem—General Regular Case
2.3 Change of Sample Rate
2.4 Sample-Rate Change—General Case
Conclusions
Problems
References
Chapter 3. Two-Dimensional Systems and Z-Transforms
3.1 Linear Spatial or 2-D Systems
3.2 Z-Transforms
3.3 Regions of Convergence
3.4 Some Z-Transform Properties
3.5 2-D Filter Stability
Conclusions
Problems
References
Chapter 4. 2-D Discrete-Space Transforms
4.1 Discrete Fourier Series
4.2 Discrete Fourier Transform
2-D Discrete Cosine Transform
4.4 Subband/Wavelet Transform
4.5 Fast Transform Algorithms
4.6 Sectioned Convolution Methods
Conclusions
Problems
References
Chapter 5. Two-Dimensional Filter Design
5.1 FIR Filter Design
5.2 IIR Filter Design
5.3 Subband/Wavelet Filter Design
Conclusions
Problems
References
Chapter 6. Image Perception and Sensing
6.1 Light and Luminance
6.2 Still Image Visual Properties
6.3 Time-Variant Human Visual System Properties
6.4 Color
6.5 Color Spaces
6.6 Image Sensors and Displays
Conclusions
Problems
References
Chapter 7. Image Enhancement and Analysis
7.1 Simple Image Processing Filters
7.2 Image Enhancement
7.3 Image Analysis
7.4 Object Detection
Conclusions
Problems
References
Chapter 8. Image Estimation and Restoration
8.1 Two-Dimensional Random Fields
8.2 Estimation for Random Fields
8.3 Two-Dimensional Recursive Estimation
8.4 Inhomogeneous Gaussian Estimation
8.5 Estimation in the Subband/Wavelet Domain
8.6 Bayesian and Maximum a Posteriori Estimation
8.7 Image Identification and Restoration
8.8 Non-Bayesian Methods
8.9 Image Superresolution
8.10 Color Image Processing
Conclusions
Problems
References
Appendix: Random Processes
Chapter 9. Digital Image Compression
9.1 Introduction
9.2 Transformation
9.3 Quantization
9.4 Entropy Coding
9.5 DCT Coder
9.6 SWT Coder
9.7 JPEG 2000
9.8 Color Image Coding
9.9 Directional Transforms
9.10 Robustness Considerations
Conclusions
Problems
References
Appendix on Information Theory
Chapter 10. Three-Dimensional and Spatiotemporal Processing
10.1 3-D Signals and Systems
10.2 3-D Sampling and Reconstruction
10.3 Spatiotemporal Signal Processing
10.4 Spatiotemporal Markov Models
Conclusions
Problems
References
Chapter 11. Digital Video Processing
11.1 Interframe Processing
11.2 Motion Estimation and Motion Compensation
11.3 Motion-Compensated Filtering
11.4 Bayesian Method for Estimating Motion
11.5 Restoration of Degraded Video and Film
11.6 Super-Resolution of Video
Conclusions
Problems
References
Appendix: Digital Video Formats
Chapter 12. Digital Video Compression
12.1 Intraframe Coding
12.2 Interframe Coding
12.3 Early Interframe Coding Standards
12.4 Interframe SWT Coders
12.5 Scalable Video Coders
12.6 Current Interframe Coding Standards
12.7 Nonlocal Intraprediction
12.8 Object-Based Coding
12.9 Comments on the Sensitivity of Compressed Video
Conclusions
Problems
References
Chapter 13. Video Transmission over Networks
13.1 Video on IP Networks
13.2 Robust SWT Video Coding (Bajic)
13.3 Error-Resilience Features of H.264/AVC
13.4 Joint Source–Network Coding
Conclusions
