Handbook of Image and Video Processing
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Table of contents
- Cover
- Contentsxiii
- Prefacev
- Editorvii
- Contributorsix
- Section I: Introduction1
- Chapter 1.1 Introduction to Digital Image and Video Processing3
- Section II: Basic Image Processing Techniques19
- Chapter 2.1 Basic Gray-Level Image Processing21
- Chapter 2.2 Basic Binary Image Processing39
- Chapter 2.3 Basic Tools for Image Fourier Analysis57
- Chapter 2.4 Image Processing Education73
- Section III: Image and Video Processing97
- Image and Video Enhancement and Restoration97
- Chapter 3.1 Basic Linear Filtering with Application to Image Enhancement99
- Chapter 3.2 Nonlinear Filtering for Image Analysis and Enhancement109
- Chapter 3.3 Morphological Filtering for Image Enhancement and Feature Detection135
- Chapter 3.4 Wavelet Denoising for Image Enhancement157
- Chapter 3.5 Basic Methods for Image Restoration and Identification167
- Chapter 3.6 Regularization in Image Restoration and Reconstruction183
- Chapter 3.7 Multichannel Image Recovery203
- Chapter 3.8 Multi-Frame Image Restoration219
- Chapter 3.9 Iterative Image Restoration235
- Chapter 3.10 Motion Detection and Estimation253
- Chapter 3.11 Video Enhancement and Restoration275
- Reconstruction from Multiple Images297
- Chapter 3.12 Local and Global Stereo Methods297
- Chapter 3.13 Image Sequence Stabilization, Mosaicking, and Superresolution309
- Section IV: Image and Video Analysis323
- Image Representations and Image Models323
- Chapter 4.1 Computational Models of Early Human Vision325
- Chapter 4.2 Multiscale Image Decompositions and Wavelets347
- Chapter 4.3 Random Field Models361
- Chapter 4.4 AM-FM Image Models: Fundamental Techniques and Emerging Trends377
- Chapter 4.5 Image Noise Models397
- Chapter 4.6 Color and Multispectral Image Representation and Display411
- Chapter 4.7 Statistical Modeling of Photographic Images431
- Image and Video Classifications and Segmentation443
- Chapter 4.8 Statistical Methods for Image Segmentation443
- Chapter 4.9 Multiband Techniques for Texture Classification and Segmentation455
- Chapter 4.10 Video Segmentation471
- Chapter 4.11 2D and 3D Motion Tracking in Digital Video491
- Chapter 4.12 Adaptive and Neural Methods for Image Segmentation519
- Edge and Boundary Detection in Images535
- Chapter 4.13 Gradient and Laplacian Edge Detection535
- Partial Differential Equation-Based Image Processing555
- Chapter 4.14 Diffusion Partial Differential Equations for Edge Detection555
- Chapter 4.15 Shape Smoothing and PDEs573
- Chapter 4.16 PDEs for Morphological Scale Spaces and Eikonal Applications587
- Chapter 4.17 Geometric Active Contours for Image Segmentation613
- Algoritihms of Image Processsing629
- Chapter 4.18 Software for Image and Video Processing629
- Section V: Image Compression641
- Chapter 5.1 Lossless Coding643
- Chapter 5.2 Block Truncation Coding661
- Chapter 5.3 Fundamentals of Vector Quantization673
- Chapter 5.4 Wavelet Image Compression689
- Chapter 5.5 Lossy Image Compression: JPEG and JPEG2000 Standards709
- Chapter 5.6 The JPEG Lossless Image Compression Standards733
- Chapter 5.7 Multispectral Image Coding747
- Chapter 5.8 Recovery Methods for Postprocessing of Compressed Images761
- Section VI: Video Compression775
- Chapter 6.1 Basic Concepts and Techniques of Video Coding and the H.261 Standard777
- Chapter 6.2 Interframe Subband/Wavelet Scalable Video Coding799
- Chapter 6.3 Digital Video Transcoding819
- Chapter 6.4 MPEG-1 and MPEG-2 Video Standards833
- Chapter 6.5 MPEG-4, H.264/AVC, and MPEG-7: New Standards for the Digital Video Industry849
- Chapter 6.6 Embedded Video Codecs877
- Section VII: Image and Video Acquisition893
- Chapter 7.1 Image Scanning, Sampling, and Interpolation895
- Chapter 7.2 Video Sampling and Interpolation911
- Section VIII: Image and Video Rendering and Assessment923
- Chapter 8.1 Image Quantization, Halftoning, and Printing925
- Chapter 8.2 Perceptual Criteria for Image Quality Evaluation939
- Chapter 8.3 Structural Approaches to Image Quality Assessment961
- Chapter 8.4 Information Theoretic Approaches to Image Quality Assessment975
- Section IX: Image and Video Storage, Retrieval, and Communication991
- Chapter 9.1 Image and Video Indexing and Retrieval993
- Chapter 9.2 A Unified Framework for Video Summarization, Browsing, and Retrieval1013
- Chapter 9.3 Video Communication Networks1031
- Chapter 9.4 Wireless Video1065
- Chapter 9.5 Watermarking Techniques for Image Authentication and Copyright Protection1083
- Chapter 9.6 Visual Cryptography: The Combinatorial and Halftoning Frameworks1111
- Section X: Applications of Image Processing1129
- Chapter 10.1 Synthetic Aperture Radar Algorithms1131
- Chapter 10.2 Computed Tomography1155
- Chapter 10.3 Cardiac Image Processing1175
- Chapter 10.4 Computer-Aided Detection and Diagnosis in Mammography1195
- Chapter 10.5 Fingerprint Classification and Matching1219
- Chapter 10.6 Face Recognition from Still Images and Videos1235
- Chapter 10.7. How Iris Recognition Works1251
- Chapter 10.8 Exploiting Visual Information in Automatic Speech Processing1263
- Chapter 10.9 Confocal Microscopy1291
- Chapter 10.10 Computer-Assisted Microscopy1311
- Chapter 10.11 Statistical Models for Bayesian Object Recognition1341
- Index1355
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’s 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’s 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. Dr. Bovik was Distinguished Lecturer of the IEEE Signal Processing Society (2000), received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millennium Medal (2000), and twice was a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a Fellow of the IEEE, was Editor-in-Chief, of the IEEE Transactions on Image Processing (1996-2002), has served on and continues to serve on many other professional boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing which was held in Austin, Texas in 1994.
* No other resource for image and video processing contains the same breadth of up-to-date coverage
* Each chapter written by one or several of the top experts working in that area
* Includes all essential mathematics, techniques, and algorithms for every type of image and video processing used by electrical engineers, computer scientists, internet developers, bioengineers, and scientists in various,
image-intensive disciplines
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’s 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’s 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. Dr. Bovik was Distinguished Lecturer of the IEEE Signal Processing Society (2000), received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millennium Medal (2000), and twice was a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a Fellow of the IEEE, was Editor-in-Chief, of the IEEE Transactions on Image Processing (1996-2002), has served on and continues to serve on many other professional boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing which was held in Austin, Texas in 1994.
* No other resource for image and video processing contains the same breadth of up-to-date coverage
* Each chapter written by one or several of the top experts working in that area
* Includes all essential mathematics, techniques, and algorithms for every type of image and video processing used by electrical engineers, computer scientists, internet developers, bioengineers, and scientists in various,
image-intensive disciplines