"Handbook of Image and Video Processing" by ed. Alan C. Bovik

"Handbook of Image and Video Processing" by ed. Alan C. Bovik
Communications, Networking and Multimedia. Second Edition
Elsevier Academic Press | 2005 | ISBN: 0121197921 | 1429 pages | PDF/djvu | 175/60 mb

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.

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�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

Contents
Preface
Editor
Contributors
SECTION I Introduction
Introduction to Digital Image and Video Processing
SECTION II Basic Image Processing Techniques
Basic Gray-Level Image Processing
Basic Binary Image Processing
Basic Tools for Image Fourier Analysis
Image Processing Education
SECTION III 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 Feature Detection
Wavelet Denoising for Image Enhancement
Basic Methods for Image Restoration and Identification
Regularization in Image Restoration and Reconstruction
Multichannel Image Recovery
Multi-Frame Image Restoration
Iterative Image Restoration
Motion Detection and Estimation
Video Enhancement and Restoration
Reconstruction from Multiple Images
Local and Global Stereo Methods
Image Sequence Stabilization, Mosaicking, and Superresolution
Image Representations and Image Models
Computational Models of Early Human Vision
Multiscale Image Decompositions and Wavelets
Random Field Models
AM-FM Image Models: Fundamental Techniques and Emerging Trends
Image Noise Models
Color and Multispectral Image Representation and Display
Statistical Modeling of Photographic Images
Image and Video Classifications and Segmentation
Statistical Methods for Image Segmentation
Multiband Techniques, Texture Classification, and Segmentation
Video Segmentation
2D and 3D Motion Tracking in Digital Video
Adaptive and Neural Methods for Image Segmentation
Edge and Boundary Detection in Images
Gradient and Laplacian Edge Detection
Partial Differential Equation-Based Image Processing
Diffusion Partial Differential Equations for Edge Detection
Shape Smoothing and PDEs
PDEs for Morphological Scale Spaces and Eikonal Applications
Geometric Active Contours for Image Segmentation
Algorithms for Image Processing
Software for Image and Video Processing
SECTION V Image Compression
Lossless Coding
Block Truncation Coding
Fundamentals of Vector Quantization
Wavelet Image Compression
Lossy Image Compression: The JPEG and JPEG2000 Standards
The JPEG Lossless Image Compression Srandards
Multispectral Image Coding
Recover Methods for Post Processing for Compressed Images
Basic Concepts and Techniques of Video Coding and the H.261 Standard
Interframe Subband/Wavelet Scalable Video Coding
Digital Video Transcoding

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