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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 indispensible 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 ing the areas of image and video processing. Beginning with a series of tutorial chapters on basic gray-level image processing, binary image processing, image Furier 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 quantization, and wavelets
- Image compression standards, including JPEG
- Modern video compression, including DCT, object, and wavelet-based methods
- Video compression standards, including H.261, and MPEG I,II,IV, and VII
- Image and video acquisition, sampling, and imterpolation
- Image quantization, haftoning, and printing
- Perceptual quality assessment of compressed images and video
- Image and video databases, indexing, and retrieval
- Image and video networks, security, and watermarking