简介
55% new material in the latest edition of this must-have for students and practitioners of image & video processing! This Handbook is intended to serve as the basic reference point on image and video processing, in the field, in the research laboratory, and in the classroom. Each chapter has been written by carefully selected, distinguished experts specializing in that topic and carefully reviewed by the Editor, Al Bovik, ensuring that the greatest depth of understanding be communicated to the reader. Coverage includes introductory, intermediate and advanced topics and as such, this book serves equally well as classroom textbook as reference resource. Provides practicing engineers and students with a highly accessible resource for learning and using image/video processing theory and algorithms Includes a new chapter on image processing education, which should prove invaluable for those developing or modifying their curricula Covers the various image and video processing standards that exist and are emerging, driving today explosive industry Offers an understanding of what images are, how they are modeled, and gives an introduction to how they are perceived Introduces the necessary, practical background to allow engineering students to acquire and process their own digital image or video data Culminates with a diverse set of applications chapters, covered in sufficient depth to serve as extensible models to the reader own potential applications About the Editor Al Bovik is the Cullen Trust for Higher Education Endowed Professor at The University of Texas at Austin, where he is the Director of the Laboratory for Image and Video Engineering (LIVE). He has published over 400 technical articles in the general area of image and video processing and holds two U.S. patents.
目录
Preface p. v
Editor p. vii
Contributors p. ix
Section I Introduction
1.1 Introduction to Digital Image and Video Processing Alan C. Bovik p. 3
Section II Basic Image Processing Techniques
2.1 Basic Gray-Level Image Processing Alan C. Bovik p. 21
2.2 Basic Binary Image Processing Alan C. Bovik and Mita D. Desai p. 37
2.3 Basic Tools for Image Fourier Analysis Alan C. Bovik p. 53
Section III Image and Video Processing
Image and Video Enhancement and Restoration
3.1 Basic Linear Filtering with Application to Image Enhancement Alan C. Bovik and Scott T. Acton p. 71
3.2 Nonlinear Filtering for Image Analysis and Enhancement Gonzalo R. Arce and Jose L. Paredes and John Mullan p. 81
3.3 Morphological Filtering for Image Enhancement and Detection Petors Maragos and Lucio F. C. Pessoa p. 101
3.4 Wavelet Denoising for Image Enhancement Dong Wei and Alan C. Bovik p. 117
3.5 Basic Methods for Image Restoration and Identification Reginald L. Lagendijk and Jan Biemond p. 125
3.6 Regularization in Image Restoration and Reconstruction W. Clem Karl p. 141
3.7 Multichannel Image Recovery Nikolas P. Galatsanos and Miles N. Wernick and Aggelos K. Katsaggelos p. 161
3.8 Multiframe Image Restoration Timothy J. Schulz p. 175
3.9 Iterative Image Restoration Aggelos K. Katsaggelos and Chun-Jen Tsai p. 191
3.10 Motion Detection and Estimation Janusz Konrad p. 207
3.11 Video Enhancement and Restoration Reginald L. Lagendijk and Peter M. B. van Roosmalen and Jan Biemond p. 227
Reconstruction from Multiple Images
3.12 3-D Shape Reconstruction from Multiple Views Huaibin Zhao and J. K. Aggarwal and Chhandomay Mandal and Baba C. Vemuri p. 243
3.13 Image Sequence Stabilization, Mosaicking, and Superresolution S. Srinivasan and R. Chellappa p. 259
Section IV Image and Video Analysis
Image Representations and Image Models
4.1 Computational Models of Early Human Vision Lawrence K. Cormack p. 271
4.2 Multiscale Image Decompositions and Wavelets Pierre Moulin p. 289
4.3 Random Field Models J. Zhang and D. Wang and P. Fieguth p. 301
4.4 Image Modulation Models J. P. Havlicek and A. C. Bovik p. 313
4.5 Image Noise Models Charles Boncelet p. 325
4.6 Color and Multispectral Image Representation and Display H. J. Trussell p. 337
Image and Video Classification and Segmentation
4.7 Statistical Methods for Image Segmentation Sridhar Lakshmanan p. 355
4.8 Multiband Techniques for Texture Classification and Segmentation B. S. Manjunath and G. M. Haley and W. Y. Ma p. 367
4.9 Video Segmentation A. Murat Tekalp p. 383
4.10 Adaptive and Neural Methods for Image Segmentation Joydeep Ghosh p. 401
Edge and Boundary Detection in Images
4.11 Gradient and Laplacian-Type Edge Detection Phillip A. Mlsna and Jeffrey J. Rodriguez p. 415
4.12 Diffusion-Based Edge Detectors Scott T. Acton p. 433
Algorithms for Image Processing
4.13 Software for Image and Video Processing K. Clint Slatton and Brian L. Evans p. 449
Section V Image Compression
5.1 Lossless Coding Lina J. Karam p. 461
5.2 Block Truncation Coding Edward J. Delp and Martha Saenz and Paul Salama p. 475
5.3 Fundamentals of Vector Quantization Mohammad A. Khan and Mark J. T. Smith p. 485
5.4 Wavelet Image Compression Zixiang Xiong and Kannan Ramchandran p. 495
5.5 The JPEG Lossy Image Compression Standard Rashid Ansari and Nasir Memon p. 513
5.6 The JPEG Lossless Image Compression Standards Nasir Memon and Rashid Ansari p. 527
5.7 Multispectral Image Coding Daniel Tretter and Nasir Memon and Charles A. Bouman p. 539
Section VI Video Compression
6.1 Basic Concepts and Techniques of Video Coding and the H.261 Standard Barry Barnett p. 555
6.2 Spatiotemporal Subband/Wavelet Video Compression John W. Woods and Soo-Chul Han and Shih-Ta Hsiang and T. Naveen p. 575
6.3 Object-Based Video Coding Touradj Ebrahimi and Murat Kunt p. 585
6.4 MPEG-1 and MPEG-2 Video Standards Supavadee Aramvith and Ming-Ting Sun p. 597
6.5 Emerging MPEG Standards: MPEG-4 and MPEG-7* Berna Erol and Adriana Dumitras and Faouzi Kossentini p. 611
Section VII Image and Video Acquisition
7.1 Image Scanning, Sampling, and Interpolation Jan P. Allebach p. 629
7.2 Video Sampling and Interpolation Eric Dubois p. 645
Section VIII Image and Video Rendering and Assessment
8.1 Image Quantization, Halftoning, and Printing Ping Wah Wong p. 657
8.2 Perceptual Criteria for Image Quality Evaluation Thrasyvoulos N. Pappas and Robert J. Safranek p. 669
Section IX Image and Video Storage, Retrieval and Communication
9.1 Image and Video Indexing and Retrieval Michael A. Smith and Tsuhan Chen p. 687
9.2 A Unified Framework for Video Browsing and Retrieval Yong Rui and Thomas S. Huang p. 705
9.3 Image and Video Communication Networks Dan Schonfeld p. 717
9.4 Image Watermarking for Copyright Protection and Authentication George Voyatzis and Ioannis Pitas p. 733
Section X Applications of Image Processing
10.1 Synthetic Apertur Radar Algorithms Ron Goodman and Walter Carrara p. 749
10.2 Computed Tomography R. M. Leahy and R. Clackdoyle p. 771
10.3 Cardiac Image Processing Joseph M. Reinhardt and William E. Higgins p. 789
10.4 Computer Aided Detection for Screening Mammography Michael D. Heath and Kevin W. Bowyer p. 805
10.5 Fingerprint Classification and Matching Anil Jain and Sharath Pankanti p. 821
10.6 Probabilistic, View-Based, and Modular Models for Human Face Recognition Baback Moghaddam and Alex Pentland p. 837
Human Face Recognition
10.7 Confocal Microscopy Fatima A. Merchant and Keith A. Bartels and Alan C. Bovik and Kenneth R. Diller p. 853
10.8 Bayesian Automated Target Recognition Anuj Srivastava and Michael I. Miller and Ulf Grenander p. 869
Index p. 883
Editor p. vii
Contributors p. ix
Section I Introduction
1.1 Introduction to Digital Image and Video Processing Alan C. Bovik p. 3
Section II Basic Image Processing Techniques
2.1 Basic Gray-Level Image Processing Alan C. Bovik p. 21
2.2 Basic Binary Image Processing Alan C. Bovik and Mita D. Desai p. 37
2.3 Basic Tools for Image Fourier Analysis Alan C. Bovik p. 53
Section III Image and Video Processing
Image and Video Enhancement and Restoration
3.1 Basic Linear Filtering with Application to Image Enhancement Alan C. Bovik and Scott T. Acton p. 71
3.2 Nonlinear Filtering for Image Analysis and Enhancement Gonzalo R. Arce and Jose L. Paredes and John Mullan p. 81
3.3 Morphological Filtering for Image Enhancement and Detection Petors Maragos and Lucio F. C. Pessoa p. 101
3.4 Wavelet Denoising for Image Enhancement Dong Wei and Alan C. Bovik p. 117
3.5 Basic Methods for Image Restoration and Identification Reginald L. Lagendijk and Jan Biemond p. 125
3.6 Regularization in Image Restoration and Reconstruction W. Clem Karl p. 141
3.7 Multichannel Image Recovery Nikolas P. Galatsanos and Miles N. Wernick and Aggelos K. Katsaggelos p. 161
3.8 Multiframe Image Restoration Timothy J. Schulz p. 175
3.9 Iterative Image Restoration Aggelos K. Katsaggelos and Chun-Jen Tsai p. 191
3.10 Motion Detection and Estimation Janusz Konrad p. 207
3.11 Video Enhancement and Restoration Reginald L. Lagendijk and Peter M. B. van Roosmalen and Jan Biemond p. 227
Reconstruction from Multiple Images
3.12 3-D Shape Reconstruction from Multiple Views Huaibin Zhao and J. K. Aggarwal and Chhandomay Mandal and Baba C. Vemuri p. 243
3.13 Image Sequence Stabilization, Mosaicking, and Superresolution S. Srinivasan and R. Chellappa p. 259
Section IV Image and Video Analysis
Image Representations and Image Models
4.1 Computational Models of Early Human Vision Lawrence K. Cormack p. 271
4.2 Multiscale Image Decompositions and Wavelets Pierre Moulin p. 289
4.3 Random Field Models J. Zhang and D. Wang and P. Fieguth p. 301
4.4 Image Modulation Models J. P. Havlicek and A. C. Bovik p. 313
4.5 Image Noise Models Charles Boncelet p. 325
4.6 Color and Multispectral Image Representation and Display H. J. Trussell p. 337
Image and Video Classification and Segmentation
4.7 Statistical Methods for Image Segmentation Sridhar Lakshmanan p. 355
4.8 Multiband Techniques for Texture Classification and Segmentation B. S. Manjunath and G. M. Haley and W. Y. Ma p. 367
4.9 Video Segmentation A. Murat Tekalp p. 383
4.10 Adaptive and Neural Methods for Image Segmentation Joydeep Ghosh p. 401
Edge and Boundary Detection in Images
4.11 Gradient and Laplacian-Type Edge Detection Phillip A. Mlsna and Jeffrey J. Rodriguez p. 415
4.12 Diffusion-Based Edge Detectors Scott T. Acton p. 433
Algorithms for Image Processing
4.13 Software for Image and Video Processing K. Clint Slatton and Brian L. Evans p. 449
Section V Image Compression
5.1 Lossless Coding Lina J. Karam p. 461
5.2 Block Truncation Coding Edward J. Delp and Martha Saenz and Paul Salama p. 475
5.3 Fundamentals of Vector Quantization Mohammad A. Khan and Mark J. T. Smith p. 485
5.4 Wavelet Image Compression Zixiang Xiong and Kannan Ramchandran p. 495
5.5 The JPEG Lossy Image Compression Standard Rashid Ansari and Nasir Memon p. 513
5.6 The JPEG Lossless Image Compression Standards Nasir Memon and Rashid Ansari p. 527
5.7 Multispectral Image Coding Daniel Tretter and Nasir Memon and Charles A. Bouman p. 539
Section VI Video Compression
6.1 Basic Concepts and Techniques of Video Coding and the H.261 Standard Barry Barnett p. 555
6.2 Spatiotemporal Subband/Wavelet Video Compression John W. Woods and Soo-Chul Han and Shih-Ta Hsiang and T. Naveen p. 575
6.3 Object-Based Video Coding Touradj Ebrahimi and Murat Kunt p. 585
6.4 MPEG-1 and MPEG-2 Video Standards Supavadee Aramvith and Ming-Ting Sun p. 597
6.5 Emerging MPEG Standards: MPEG-4 and MPEG-7* Berna Erol and Adriana Dumitras and Faouzi Kossentini p. 611
Section VII Image and Video Acquisition
7.1 Image Scanning, Sampling, and Interpolation Jan P. Allebach p. 629
7.2 Video Sampling and Interpolation Eric Dubois p. 645
Section VIII Image and Video Rendering and Assessment
8.1 Image Quantization, Halftoning, and Printing Ping Wah Wong p. 657
8.2 Perceptual Criteria for Image Quality Evaluation Thrasyvoulos N. Pappas and Robert J. Safranek p. 669
Section IX Image and Video Storage, Retrieval and Communication
9.1 Image and Video Indexing and Retrieval Michael A. Smith and Tsuhan Chen p. 687
9.2 A Unified Framework for Video Browsing and Retrieval Yong Rui and Thomas S. Huang p. 705
9.3 Image and Video Communication Networks Dan Schonfeld p. 717
9.4 Image Watermarking for Copyright Protection and Authentication George Voyatzis and Ioannis Pitas p. 733
Section X Applications of Image Processing
10.1 Synthetic Apertur Radar Algorithms Ron Goodman and Walter Carrara p. 749
10.2 Computed Tomography R. M. Leahy and R. Clackdoyle p. 771
10.3 Cardiac Image Processing Joseph M. Reinhardt and William E. Higgins p. 789
10.4 Computer Aided Detection for Screening Mammography Michael D. Heath and Kevin W. Bowyer p. 805
10.5 Fingerprint Classification and Matching Anil Jain and Sharath Pankanti p. 821
10.6 Probabilistic, View-Based, and Modular Models for Human Face Recognition Baback Moghaddam and Alex Pentland p. 837
Human Face Recognition
10.7 Confocal Microscopy Fatima A. Merchant and Keith A. Bartels and Alan C. Bovik and Kenneth R. Diller p. 853
10.8 Bayesian Automated Target Recognition Anuj Srivastava and Michael I. Miller and Ulf Grenander p. 869
Index p. 883
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