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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.
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Handbook of Image and Video Processing presents a comprehensive and highly accessible presentation of the basic and most up-to-date methods and algorithms for digital image and video processing. This timely volume will provide both the novice and the seasoned practitioner the necessary information and skills to be able to develop algorithms and applications for the burgeoning Multimedia, Digital Imaging, Digital Video, Telecommunications, and World-Wide Web (internet) industries. Handbook of Image and Video Processing is an indispensable resource for researchers in telecommunications, internet applications, multimedia, and nearly every branch of science. No other resource contains the same breadth of up-to-date coverage.
This handbook is arranged into highly focused chapters that represent the collective efforts of the leading educators and researchers working in the areas of image and video processing. Beginning with a series of tutorial chapters on basic gray-level image processing, binary image processing, image Fourier analysis and convolution, the Handbook then describes the latest and most effective techniques for:
* Linear, non-linear, morphological, and wavelet-based image enhancement
* Basic, regularized, multi-channel, multi-frame, and iterative image restoration
* Motion detection and estimation
* Video enhancement and restoration
* Scene reconstruction, image stabilization, and mosaicking
* Models of human vision and their impact on image processing
* Wavelet, color, and multispectral image representations
* Models for image noise, image modulations, and random fields
* Image and video segmentation, classification, and edge detection
* Review of available image processing development environments and software
* Lossless image compression
* Lossy image compression using BTC, vector quanitization, and wavelets
* Image compression standards, including JPEG
* Modern video compression, including DCT, object-, and wavelet-based methods
* Video compression standards, including H.261, MPEG I, II, IV, and VII
* Image and video acquisition, sampling, and interpolation
* Image quantization, halftoning, and printing
* Perceptual quality assessment of compressed images and video
* Image and video databases, indexing, and retrieval
* Image and video networks, security, and watermarking
The Handbook concludes with a set of carefully selected, instructive, and exemplary image processing applications in diverse areas such as; radar imaging, computed tomography, cardiac imaging, digital mammography, fingerprint classification and recognition, human face recognition, confocal microscopy, and automatic target recognition. Developers of these applications as well as those seeking applications that parallel their own will find these chapters to be indispensable guides.
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.
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