Handbook of Image and Video Processing (Communications, Networking and Multimedia)

Cover......Page 1
Half Title Page......Page 4
Title Page......Page 6
Copyright......Page 7
Preface......Page 8
Editor......Page 10
Contributors......Page 12
Table of Contents......Page 16
Section I: Introduction......Page 20
1.1 Introduction to Digital Image and Video Processing......Page 22
Section II: Basic Image Processing Techniques......Page 38
2.1 Basic Gray-Level Image Processing......Page 40
2.2 Basic Binary Image Processing......Page 56
2.3 Basic Tools for Image Fourier Analysis......Page 72
Section III: Image and Video Processing......Page 88
3.1 Basic Linear Filtering with Application to Image Enhancement......Page 90
3.2 Nonlinear Filtering for Image Analysis and Enhancement......Page 100
3.3 Morphological Filtering for Image Enhancement and Detection......Page 120
3.4 Wavelet Denoising for Image Enhancement......Page 136
3.5 Basic Methods for Image Restoration and Identification......Page 144
3.6 Regularization in Image Restoration and Reconstruction......Page 160
3.7 Multichannel Image Recovery......Page 180
3.8 Multiframe Image Restoration......Page 194
3.9 Iterative Image Restoration......Page 210
3.10 Motion Detection and Estimation......Page 226
3.11 Video Enhancement and Restoration......Page 246
3.12 3-D Shape Reconstruction from Multiple Views......Page 262
3.13 Image Sequence Stabilization, Mosaicking, and Superresolution......Page 278
Section IV: Image and Video Analysis......Page 288
4.1 Computational Models of Early Human Vision......Page 290
4.2 Multiscale Image Decompositions and Wavelets......Page 316
4.3 Random Field Models......Page 328
4.4 Image Modulation Models......Page 340
4.5 Image Noise Models......Page 352
4.6 Color and Multispectral Image Representation and Display......Page 364
4.7 Statistical Methods for Image Segmentation......Page 382
4.8 Multiband Techniques for Texture Classification and Segmentation......Page 394
4.9 Video Segmentation......Page 410
4.10 Adaptive and Neural Methods for Image Segmentation......Page 428
4.11 Gradient and Laplacian-Type Edge Detection......Page 442
4.12 Diffusion-Based Edge Detectors......Page 460
4.13 Software for Image and Video Processing......Page 476
Section V: Image Compression......Page 486
5.1 Lossless Coding......Page 488
5.2 Block Truncation Coding......Page 502
5.3 Fundamentals of Vector Quantization......Page 512
5.4 Wavelet Image Compression......Page 522
5.5 The JPEG Lossy Image Compression Standard......Page 556
5.6 The JPEG Lossless Image Compression Standards......Page 570
5.7 Multispectral Image Coding......Page 582
Section VI: Video Compression......Page 596
6.1 Basic Concepts and Techniques of Video Coding and the H.261 Standard......Page 598
6.2 Spatiotemporal Subband/Wavelet Video Compression......Page 618
6.3 Object-Based Video Coding......Page 628
6.4 MPEG-1 and MPEG-2 Video Standards......Page 640
6.5 Emerging MPEG Standards: MPEG-4 and MPEG-7......Page 654
Section VII: Image and Video Acquisition......Page 670
7.1 Image Scanning, Sampling, and Interpolation......Page 672
7.2 Video Sampling and Interpolation......Page 688
Section VIII: Image and Video Rendering and Assessment......Page 698
8.1 Image Quantization, Halftoning, and Printing......Page 700
8.2 Perceptual Criteria for Image Quality Evaluation......Page 712
Section IX: Image and Video Storage, Retrieval and Communication......Page 728
9.1 Image and Video Indexing and Retrieval......Page 730
9.2 Unified Framework for Video Browsing and Retrieval......Page 764
9.3 Image and Video Communication Networks......Page 776
9.4 Image Watermarking for Copyright Protection and Authentication......Page 792
Section X: Applications of Image Processing......Page 806
10.1 Synthetic Aperture Radar Algorithms......Page 808
10.2 Computed Tomography......Page 830
10.3 Cardiac Image Processing......Page 848
10.4 Computer Aided Detection for Screening Mammography......Page 864
10.5 Fingerprint Classification and Matching......Page 880
10.6 Probabilistic, View-Based, and Modular Models for Human Face Recognition......Page 896
10.7 Confocal Microscopy......Page 912
10.8 Bayesian Automated Target Recognition......Page 928
Index......Page 958
Back Cover......Page 974