Woods Multidimensional Signal, Image, and Video Processing and Coding

2. Auflage 2011
ISBN: 978-0-12-381421-0
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 616 Seiten

Multidimensional Signal, Image, and Video Processing and Coding gives a concise introduction to both image and video processing, providing a balanced coverage between theory, applications and standards. It gives an introduction to both 2-D and 3-D signal processing theory, supported by an introduction to random processes and some essential results from information theory, providing the necessary foundation for a full understanding of the image and video processing concepts that follow. A significant new feature is the explanation of practical network coding methods for image and video transmission. There is also coverage of new approaches such as: super-resolution methods, non-local processing, and directional transforms. Multidimensional Signal, Image, and Video Processing and Coding also has on-line support that contains many short MATLAB programs that complement examples and exercises on multidimensional signal, image, and video processing. There are numerous short video clips showing applications in video processing and coding, plus a copy of the vidview video player for playing .yuv video files on a Windows PC and an illustration of the effect of packet loss on H.264/AVC coded bitstreams. New to this edition: - New appendices on random processes, information theory - New coverage of image analysis - edge detection, linking, clustering, and segmentation - Expanded coverage on image sensing and perception, including color spaces - Now summarizes the new MPEG coding standards: scalable video coding (SVC) and multiview video coding (MVC), in addition to coverage of H.264/AVC - Updated video processing material including new example on scalable video coding and more material on object- and region-based video coding - More on video coding for networks including practical network coding (PNC), highlighting the significant advantages of PNC for both video downloading and streaming - New coverage of super-resolution methods for image and video - Only R&D level tutorial that gives an integrated treatment of image and video processing - topics that are interconnected - New chapters on introductory random processes, information theory, and image enhancement and analysis - Coverage and discussion of the latest standards in video coding: H.264/AVC and the new scalable video standard (SVC)

Autoren/Hrsg.

Woods, John W.

Inhaltsverzeichnis

1;Front Cover;1
2;Multidimensional Signal, Image, and Video Processing and Coding;4
3;Copyright;5
4;Table of Contents;6
5;Preface;16
6;Chapter 1. Two-Dimensional Signals and Systems;20
6.1;1.1 Two-Dimensional Signals;20
6.2;1.2 2-D Discrete-Space Fourier Transform;32
6.3;Conclusions;49
6.4;Problems;49
6.5;References;53
7;Chapter 2. Sampling in Two Dimensions;56
7.1;2.1 Sampling Theorem—Rectangular Case;56
7.2;2.2 Sampling Theorem—General Regular Case;69
7.3;2.3 Change of Sample Rate;77
7.4;2.4 Sample-Rate Change—General Case;85
7.5;Conclusions;88
7.6;Problems;88
7.7;References;93
8;Chapter 3. Two-Dimensional Systems and Z-Transforms;94
8.1;3.1 Linear Spatial or 2-D Systems;94
8.2;3.2 Z-Transforms;98
8.3;3.3 Regions of Convergence;100
8.4;3.4 Some Z-Transform Properties;104
8.5;3.5 2-D Filter Stability;111
8.6;Conclusions;121
8.7;Problems;122
8.8;References;125
9;Chapter 4. 2-D Discrete-Space Transforms;128
9.1;4.1 Discrete Fourier Series;128
9.2;4.2 Discrete Fourier Transform;134
9.3;4.3 2-D Discrete Cosine Transform;144
9.4;4.4 Subband/Wavelet Transform;152
9.5;4.5 Fast Transform Algorithms;162
9.6;4.6 Sectioned Convolution Methods;164
9.7;Conclusions;165
9.8;Problems;165
9.9;References;169
10;Chapter 5. Two-Dimensional Filter Design;172
10.1;5.1 FIR Filter Design;172
10.2;5.2 IIR Filter Design;187
10.3;5.3 Subband/Wavelet Filter Design;196
10.4;Conclusions;203
10.5;Problems;204
10.6;References;209
11;Chapter 6. Image Perception and Sensing;212
11.1;6.1 Light and Luminance;212
11.2;6.2 Still Image Visual Properties;214
11.3;6.3 Time-Variant Human Visual System Properties;219
11.4;6.4 Color;222
11.5;6.5 Color Spaces;228
11.6;6.6 Image Sensors and Displays;231
11.7;Conclusions;238
11.8;Problems;238
11.9;References;239
12;Chapter 7. Image Enhancement and Analysis;242
12.1;7.1 Simple Image Processing Filters;242
12.2;7.2 Image Enhancement;247
12.3;7.3 Image Analysis;254
12.4;7.4 Object Detection;267
12.5;Conclusions;272
12.6;Problems;272
12.7;References;274
13;Chapter 8. Image Estimation and Restoration;276
13.1;8.1 Two-Dimensional Random Fields;276
13.2;8.2 Estimation for Random Fields;284
13.3;8.3 Two-Dimensional Recursive Estimation;289
13.4;8.4 Inhomogeneous Gaussian Estimation;301
13.5;8.5 Estimation in the Subband/Wavelet Domain;304
13.6;8.6 Bayesian and Maximum a Posteriori Estimation;308
13.7;8.7 Image Identification and Restoration;317
13.8;8.8 Non-Bayesian Methods;325
13.9;8.9 Image Superresolution;330
13.10;8.10 Color Image Processing;333
13.11;Conclusions;334
13.12;Problems;335
13.13;Appendix: Random Processes;338
13.14;References;344
14;Chapter 9. Digital Image Compression;348
14.1;9.1 Introduction;348
14.2;9.2 Transformation;350
14.3;9.3 Quantization;354
14.4;9.4 Entropy Coding;365
14.5;9.5 DCT Coder;369
14.6;9.6 SWT Coder;373
14.7;9.7 JPEG 2000;388
14.8;9.8 Color Image Coding;389
14.9;9.9 Directional Transforms;391
14.10;9.10 Robustness Considerations;394
14.11;Conclusions;395
14.12;Problems;395
14.13;Appendix on Information Theory;398
14.14;References;410
15;Chapter 10. Three-Dimensional and Spatiotemporal Processing;412
15.1;10.1 3-D Signals and Systems;412
15.2;10.2 3-D Sampling and Reconstruction;415
15.3;10.3 Spatiotemporal Signal Processing;418
15.4;10.4 Spatiotemporal Markov Models;425
15.5;Conclusions;431
15.6;Problems;431
15.7;References;432
16;Chapter 11. Digital Video Processing;434
16.1;11.1 Interframe Processing;434
16.2;11.2 Motion Estimation and Motion Compensation;440
16.3;11.3 Motion-Compensated Filtering;453
16.4;11.4 Bayesian Method for Estimating Motion;466
16.5;11.5 Restoration of Degraded Video and Film;472
16.6;11.6 Super-Resolution of Video;474
16.7;Conclusions;478
16.8;Problems;478
16.9;Appendix: Digital Video Formats;480
16.10;References;483
17;Chapter 12. Digital Video Compression;486
17.1;12.1 Intraframe Coding;487
17.2;12.2 Interframe Coding;496
17.3;12.3 Early Interframe Coding Standards;499
17.4;12.4 Interframe SWT Coders;505
17.5;12.5 Scalable Video Coders;512
17.6;12.6 Current Interframe Coding Standards;522
17.7;12.7 Nonlocal Intraprediction;536
17.8;12.8 Object-Based Coding;538
17.9;12.9 Comments on the Sensitivity of Compressed Video;541
17.10;Conclusions;542
17.11;Problems;542
17.12;References;544
18;Chapter 13. Video Transmission over Networks;548
18.1;13.1 Video on IP Networks;548
18.2;13.2 Robust SWT Video Coding (Bajic);559
18.3;13.3 Error-Resilience Features of H.264/AVC;569
18.4;13.4 Joint Source–Network Coding;574
18.5;Conclusions;587
18.6;Problems;587
18.7;References;589
19;Index;594
20;Color Plate;618