Handbook of Image and Video Processing
- 1st Edition - May 31, 2000
- Latest edition
- Editor: Alan C. Bovik
- Language: English
The Handbook of Image and Video Processing contains a comprehensive and highly accessible presentation of all essential mathematics, techniques, and algorithms for every type o… Read more
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The Handbook of Image and Video Processing contains a comprehensive and highly accessible presentation of all essential mathematics, techniques, and algorithms for every type of image and video processing used by scientists and engineers. The timely volume will provide both the novice and the seasoned practitioner with the necessary information and skills to be able to develop algorithms and applications for multimedia, digital imaging, digital video, telecommunications, and World Wide Web industries.
Handbook of Image and Video Processing will also serve as a textbook for courses such as digital image processing, digital image analysis, digital video, video communications, multimedia, and biomedical image processing in the departments of electrical and computer engineering and computer science.
Handbook of Image and Video Processing will also serve as a textbook for courses such as digital image processing, digital image analysis, digital video, video communications, multimedia, and biomedical image processing in the departments of electrical and computer engineering and computer science.
@bul:* No other resource contains the same breadth of up-to-date coverage
* Contains over 100 example algorithm illustrations
* Contains a series of extremely accessible tutorial chapters
* Indispensible for researchers in telecommunications, internet applications, multimedia, and nearly every branch of science
Undergraduate and graduate students in Multimedia, Digital Video and Image Processing courses.
1.0 INTRODUCTION
1.1 Introduction to Image and Video Processing (Bovik)
2.0 BASIC IMAGE PROCESSING TECHNIQUES
2.1 Basic Gray-Level Image Processing (Bovik)
2.2 Basic Binary Image Processing (Desai/Bovik)
2.3 Basic Image Fourier Analysis and Convolution (Bovik)
3.0 IMAGE AND VIDEO PROCESSING
Image and Video Enhancement and Restoration
3.1 Basic Linear Filtering for Image Enhancement (Acton/Bovik)
3.2 Nonlinear Filtering for Image Enhancement (Arce)
3.3 Morphological Filtering for Image Enhancement and Detection (Maragos)
3.4 Wavelet Denoising for Image Enhancement (Wei)
3.5 Basic Methods for Image Restoration and Identification (Biemond)
3.6 Regularization for Image Restoration and Reconstruction (Karl)
3.7 Multi-Channel Image Recovery (Galatsanos)
3.8 Multi-Frame Image Restoration (Schulz)
3.9 Iterative Image Restoration (Katsaggelos)
3.10 Motion Detection and Estimation (Konrad)
3.11 Video Enhancement and Restoration (Lagendijk)
Reconstruction from Multiple Images
3.12 3-D Shape Reconstruction from Multiple Views (Aggarwal)
3.13 Image Stabilization and Mosaicking (Chellappa)
4.0 IMAGE AND VIDEO ANALYSIS
Image Representations and Image Models
4.1 Computational Models of Early Human Vision (Cormack)
4.2 Multiscale Image Decomposition and Wavelets (Moulin)
4.3 Random Field Models (Zhang)
4.4 Modulation Models (Havlicek)
4.5 Image Noise Models (Boncelet)
4.6 Color and Multispectral Representations (Trussell)
Image and Video Classification and Segmentation
4.7 Statistical Methods (Lakshmanan)
4.8 Multi-Band Techniques for Texture Classification and Segmentation (Manjunath)
4.9 Video Segmentation (Tekalp)
4.10 Adaptive and Neural Methods for Image Segmentation (Ghosh)
Edge and Boundary Detection in Images
4.11 Gradient and Laplacian-Type Edge Detectors (Rodriguez)
4.12 Diffusion-Based Edge Detectors (Acton)
Algorithms for Image Processing
4.13 Software for Image and Video Processing (Evans)
5.0 IMAGE COMPRESSION
5.1 Lossless Coding (Karam)
5.2 Block Truncation Coding (Delp)
5.3 Vector Quantization (Smith)
5.4 Wavelet Image Compression (Ramchandran)
5.5 The JPEG Lossy Standard (Ansari)
5.6 The JPEG Lossless Standard (Memon)
5.7 Multispectral Image Coding (Bouman)
6.0 VIDEO COMPRESSION
6.1 Basic Concepts and Techniques of Video Coding (Barnett/Bovik)
6.2 Spatiotemporal Subband/Wavelet Video Compression (Woods)
6.3 Object-Based Video Coding (Kunt)
6.4 MPEG-I and MPEG-II Video Standards (Ming-Ting Sun)
6.5 Emerging MPEG Standards: MPEG-IV and MPEG-VII (Kossentini)
7.0 IMAGE AND VIDEO ACQUISITION
7.1 Image Scanning, Sampling, and Interpolation (Allebach)
7.2 Video Sampling and Interpolation (Dubois)
8.0 IMAGE AND VIDEO RENDERING AND ASSESSMENT
8.1 Image Quantization, Halftoning, and Printing (Wong)
8.2 Perceptual Criteria for Image Quality Evaluation (Pappas)
9.0 IMAGE AND VIDEO STORAGE, RETRIEVAL AND COMMUNICATION
9.1 Image and Video Indexing and Retrieval (Tsuhan Chen)
9.2 A Unified Framework for Video Browsing and Retrieval (Huang)
9.3 Image and Video Communication Networks (Schonfeld)
9.4 Image Watermarking (Pitas)
10.0 APPLICATIONS OF IMAGE PROCESSING
10.1 Synthetic Aperture Radar Imaging (Goodman/Carrera)
10.2 Computed Tomography (Leahy)
10.3 Cardiac Imaging (Higgins)
10.4 Computer-Aided Detection for Screening Mammography (Bowyer)
10.5 Fingerprint Classification and Matching (Jain)
10.6 Probabilistic Models for Face Recognition (Pentland/Moghaddam)
10.7 Confocal Microscopy (Merchant/Bartels)
10.8 Automatic Target Recognition (Miller)
Index
1.1 Introduction to Image and Video Processing (Bovik)
2.0 BASIC IMAGE PROCESSING TECHNIQUES
2.1 Basic Gray-Level Image Processing (Bovik)
2.2 Basic Binary Image Processing (Desai/Bovik)
2.3 Basic Image Fourier Analysis and Convolution (Bovik)
3.0 IMAGE AND VIDEO PROCESSING
Image and Video Enhancement and Restoration
3.1 Basic Linear Filtering for Image Enhancement (Acton/Bovik)
3.2 Nonlinear Filtering for Image Enhancement (Arce)
3.3 Morphological Filtering for Image Enhancement and Detection (Maragos)
3.4 Wavelet Denoising for Image Enhancement (Wei)
3.5 Basic Methods for Image Restoration and Identification (Biemond)
3.6 Regularization for Image Restoration and Reconstruction (Karl)
3.7 Multi-Channel Image Recovery (Galatsanos)
3.8 Multi-Frame Image Restoration (Schulz)
3.9 Iterative Image Restoration (Katsaggelos)
3.10 Motion Detection and Estimation (Konrad)
3.11 Video Enhancement and Restoration (Lagendijk)
Reconstruction from Multiple Images
3.12 3-D Shape Reconstruction from Multiple Views (Aggarwal)
3.13 Image Stabilization and Mosaicking (Chellappa)
4.0 IMAGE AND VIDEO ANALYSIS
Image Representations and Image Models
4.1 Computational Models of Early Human Vision (Cormack)
4.2 Multiscale Image Decomposition and Wavelets (Moulin)
4.3 Random Field Models (Zhang)
4.4 Modulation Models (Havlicek)
4.5 Image Noise Models (Boncelet)
4.6 Color and Multispectral Representations (Trussell)
Image and Video Classification and Segmentation
4.7 Statistical Methods (Lakshmanan)
4.8 Multi-Band Techniques for Texture Classification and Segmentation (Manjunath)
4.9 Video Segmentation (Tekalp)
4.10 Adaptive and Neural Methods for Image Segmentation (Ghosh)
Edge and Boundary Detection in Images
4.11 Gradient and Laplacian-Type Edge Detectors (Rodriguez)
4.12 Diffusion-Based Edge Detectors (Acton)
Algorithms for Image Processing
4.13 Software for Image and Video Processing (Evans)
5.0 IMAGE COMPRESSION
5.1 Lossless Coding (Karam)
5.2 Block Truncation Coding (Delp)
5.3 Vector Quantization (Smith)
5.4 Wavelet Image Compression (Ramchandran)
5.5 The JPEG Lossy Standard (Ansari)
5.6 The JPEG Lossless Standard (Memon)
5.7 Multispectral Image Coding (Bouman)
6.0 VIDEO COMPRESSION
6.1 Basic Concepts and Techniques of Video Coding (Barnett/Bovik)
6.2 Spatiotemporal Subband/Wavelet Video Compression (Woods)
6.3 Object-Based Video Coding (Kunt)
6.4 MPEG-I and MPEG-II Video Standards (Ming-Ting Sun)
6.5 Emerging MPEG Standards: MPEG-IV and MPEG-VII (Kossentini)
7.0 IMAGE AND VIDEO ACQUISITION
7.1 Image Scanning, Sampling, and Interpolation (Allebach)
7.2 Video Sampling and Interpolation (Dubois)
8.0 IMAGE AND VIDEO RENDERING AND ASSESSMENT
8.1 Image Quantization, Halftoning, and Printing (Wong)
8.2 Perceptual Criteria for Image Quality Evaluation (Pappas)
9.0 IMAGE AND VIDEO STORAGE, RETRIEVAL AND COMMUNICATION
9.1 Image and Video Indexing and Retrieval (Tsuhan Chen)
9.2 A Unified Framework for Video Browsing and Retrieval (Huang)
9.3 Image and Video Communication Networks (Schonfeld)
9.4 Image Watermarking (Pitas)
10.0 APPLICATIONS OF IMAGE PROCESSING
10.1 Synthetic Aperture Radar Imaging (Goodman/Carrera)
10.2 Computed Tomography (Leahy)
10.3 Cardiac Imaging (Higgins)
10.4 Computer-Aided Detection for Screening Mammography (Bowyer)
10.5 Fingerprint Classification and Matching (Jain)
10.6 Probabilistic Models for Face Recognition (Pentland/Moghaddam)
10.7 Confocal Microscopy (Merchant/Bartels)
10.8 Automatic Target Recognition (Miller)
Index
- Edition: 1
- Latest edition
- Published: May 31, 2000
- Language: English
AB
Alan C. Bovik
Al Bovik is the General Dynamics Endowed Fellow and Professor in the Department of Electrical and Computer Engineering at the University of Texas at Austin, where he is the Associate Director of the Center for Vision and Image Sciences. He has published nearly 300 techincal articles in the general area of image and video processing and holds two U.S. patents.Dr. Bovik is a recipient of the IEEE Signal Processing Society Meritorious Service Award (1998), and is a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a fellow of the IEEE, is the Editor-in-Chief of the IEEE Transactions on Image Processing, serves on many other boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing, which was first held in Austin, Texas in 1994.
Affiliations and expertise
General Dynamics Endowed Fellow and Professor, Department of Electrical and Computer Engineering, University of Texas, Austin, USA