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Handbook of Visual Communications.
This volume is the most comprehensive reference work on visual communications to date. An international group of well-known experts in the field provide up-to-date and in-depth contributions on topics such as fundamental theory, international standards for industrial applications, high definition te...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Academic Press
1995.
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| Colección: | Series in telecommunications.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Handbook of Visual Communications; Copyright Page; Table of Contents; Contributors; Preface; CHAPTER 1. VIDEO DATA COMPRESSION; 1.1 Introduction; 1.2 Waveform Encoding; 1.3 Parameter Coding; CHAPTER 2. INFORMATION THEORY AND IMAGE CODING; 2.1 Introduction; 2.2 Noiseless Source Coding; 2.3 Continuous-Amplitude Sources; 2.4 Scalar Quantization; 2.5 Vector Coding; 2.6 Transform Coding; 2.7 Predictive Coding; 2.8 Subband Coding; 2.9 Conclusions; References; CHAPTER 3. IMAGE COMPRESSION BASED ON MODELS OF HUMAN VISION; 3.1 Introduction; 3.2 Overview of Signal Compression
- 3.3 Visual Signal, Human Perception, and Time-Frequency Analysis3.4 Filterbanks and Transforms in Image Processing; 3.5 Quantization; 3.6 Perceptual Image Coding; 3.7 Perceptual Coding of Video; 3.8 Research Directions; References; CHAPTER 4. BILEVEL IMAGE CODING; 4.1 Introduction; 4.2 Compressed Rasters versus Page Description Language; 4.3 Group 3 and Group 4 Coding; 4.4 Joint Bilevel Imaging Group Coding; 4.5 Conclusions; References; CHAPTER 5. MOTION ESTIMATION FOR IMAGE SEQUENCE COMPRESSION; 5.1 Introduction; 5.2 Motion Estimation and Compensation; 5.3 Block Matching Method
- 5.4 Differential Method5.5 Fourier Method; 5.6 Concluding Remarks; References; CHAPTER 6. VECTOR QUANTIZATION TECHNIQUES IN IMAGE COMPRESSION; 6.1 Introduction; 6.2 Vector Quantization with Memory; 6.3 Adaptive Vector Quantization; 6.4 Vector Quantization in Transform and Subband Coding; 6.5 Vector Quantization in Interframe Video Coding; 6.6 Variable Bit-Rate Vector Quantization; 6.7 Enhanced Decoding; 6.8 Concluding Remarks; References; CHAPTER 7. TRANSFORM CODING; 7.1 Introduction; 7.2 Transforming the Signal; 7.3 Performance of Transforms; 7.4 Representation of a Transformed Image
- 7.5 Quantizers and Entropy Coding7.6 Quantizer Selection; 7.7 Human Visual Sensitivity Weighting; 7.8 Transform Coders: Zonal Sampling; 7.9 Joint Pictures Experts Group Baseline System; 7.10 Interframe Image Coding; 7.11 Vector Quantization; 7.12 Conclusions; Appendix 7.A: Discrete Cosine Transform; Appendix 7.B: Lapped Orthogonal Transform; References; CHAPTER 8. SUBBAND AND WAVE LETFILTERS FOR HIGH-DEFINITION VIDEO COMPRESSION; 8.1 Introduction; 8.2 Review of Subband Filter Sets; 8.3 Power Spectral Densities; 8.4 Noise in a Subband Synthesis System; 8.5 Bit Allocation Algorithm
- 8.6 Description of the Encoder8.7 Results; 8.8 Conclusions; Appendix 8.A: Subband Filter Coefficients; References; CHAPTER 9. HIERARCHICAL CODING; 9.1 Introduction; 9.2 Compatible Coding; 9.3 Infraframe Hierarchical Source Coding; 9.4 Hierarchical Channel Coding for Asynchronous Transfer Mode; 9.5 Experimental Results; 9.6 Discussion; References; CHAPTER 10. MODEL-BASED CODING; 10.1 Introduction; 10.2 Model-Based Approaches to Image Coding; 10.3 A General Description of Three-Dimensional Model-Based Coding; 10.4 An Example of a Three-Dimensional Model-Based Coding for a Person's Face