Handbook of Image and Video Processing

ISBN-10: 0121197905

ISBN-13: 9780121197902

Edition: 2000

Authors: Alan C. Bovik

List price: $125.00
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This handbook presents up-to-date methods and algorithms for digital image and video processing. It provides the information and skills to be able to develop algorithms and applications for the burgeoning Multimedia, Digital Mapping and World Wide Web.
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Book details

List price: $125.00
Copyright year: 2000
Publisher: Elsevier Science & Technology Books
Publication date: 5/31/2000
Binding: Hardcover
Pages: 891
Size: 8.75" wide x 11.25" long x 2.00" tall
Weight: 5.434

Claude Oestges received a PhD degree in Applied Science from the Universit� catholique de Louvain (UCL, Belgium), in 2000. In 2001, he joined the Smart Antennas Research Group at Stanford University (California, USA) as a post-doctoral scholar. Since 2005 he has been a Research Associate of the Belgian National Science Foundation and a part-time Associate Professor at UCL. His research interests cover wireless and satellite communications, with a specific focus on the propagation channel and its impact on system performance. Claude Oestges is the author or co-author of more than 60 papers in IEEE/IEE journals and conference proceedings. He was a member of the IEEE 802.11 Standardization Working Group on Multiple antenna channel modeling. He received the IEE Marconi Premium Award in 2001 and the IEEE Vehicular Technology Society 2004 Neal Shepherd Award. 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. Keith Jack is Director of Product Marketing at Sigma Designs. Sigma Designs develops and markets high-performance, highly-integrated System-on-a-Chip (SoC) semiconductors for IPTV Set-top Boxes, Blu-ray and HD DVD Players/Recorders, HDTVs, Digital Media Adapters, and Portable Media Players. Prior to joining Sigma Designs, Mr. Jack held various marketing and chip design positions at Harris Semiconductor, Brooktree, and Rockwell International. He has been involved in over 40 multimedia chips for the consumer market. Mike Tooley is a technical author and consultant. He was formerly Vice Principal at Brooklands College in Surrey, England, where he was responsible for the delivery of learning to over 10,000 Further and Higher Education students increasingly by flexible, open and on-line distance learning. Mike is the well-known author of several popular engineering and related text books, including widely adopted course texts for BTEC, GCE A-level and GCSE qualifications in Engineering. Mike's hobbies include astronomy, amateur radio, aviation, computing and electronic circuit design and construction.

Introduction to Digital Image and Video Processing
Basic Image Processing Techniques
Basic Gray-Level Image Processing
Basic Binary Image Processing
Basic Tools for Image Fourier Analysis
Image and Video Processing
Image and Video Enhancement and Restoration
Basic Linear Filtering with Application to Image Enhancement
Nonlinear Filtering for Image Analysis and Enhancement
Morphological Filtering for Image Enhancement and Detection
Wavelet Denoising for Image Enhancement
Basic Methods for Image Restoration and Identification
Regularization in Image Restoration and Reconstruction
Multichannel Image Recovery
Multiframe Image Restoration
Iterative Image Restoration
Motion Detection and Estimation
Video Enhancement and Restoration
Reconstruction from Multiple Images
3-D Shape Reconstruction from Multiple Views
Image Sequence Stabilization, Mosaicking, and Superresolution
Image and Video Analysis
Image Representations and Image Models
Computational Models of Early Human Vision
Multiscale Image Decompositions and Wavelets
Random Field Models
Image Modulation Models
Image Noise Models
Color and Multispectral Image Representation and Display
Image and Video Classification and Segmentation
Statistical Methods for Image Segmentation
Multiband Techniques for Texture Classification and Segmentation
Video Segmentation
Adaptive and Neural Methods for Image Segmentation
Edge and Boundary Detection in Images
Gradient and Laplacian-Type Edge Detection
Diffusion-Based Edge Detectors
Algorithms for Image Processing
Software for Image and Video Processing
Image Compression
Lossless Coding
Block Truncation Coding
Fundamentals of Vector Quantization
Wavelet Image Compression
The JPEG Lossy Image Compression Standard
The JPEG Lossless Image Compression Standards
Multispectral Image Coding
Video Compression
Basic Concepts and Techniques of Video Coding and the H.261 Standard
Spatiotemporal Subband/Wavelet Video Compression
Object-Based Video Coding
MPEG-1 and MPEG-2 Video Standards
Emerging MPEG Standards: MPEG-4 and MPEG-7*
Image and Video Acquisition
Image Scanning, Sampling, and Interpolation
Video Sampling and Interpolation
Image and Video Rendering and Assessment
Image Quantization, Halftoning, and Printing
Perceptual Criteria for Image Quality Evaluation
Image and Video Storage, Retrieval and Communication
Image and Video Indexing and Retrieval
A Unified Framework for Video Browsing and Retrieval
Image and Video Communication Networks
Image Watermarking for Copyright Protection and Authentication
Applications of Image Processing
Synthetic Apertur Radar Algorithms
Computed Tomography
Cardiac Image Processing
Computer Aided Detection for Screening Mammography
Fingerprint Classification and Matching
Probabilistic, View-Based, and Modular Models for Human Face Recognition
Human Face Recognition
Confocal Microscopy
Bayesian Automated Target Recognition
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