Image processing is concerned with the analysis and manipulation of images by computer. Providing a thorough treatment of image processing with an emphasis on those aspects most used in computer graphics, the authors concentrate on describing and analyzing the underlying concepts rather than on presenting algorithms or pseudocode. As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics and the main topics: signal processing, data discretization, the theory of colour and different colour systems, operations in images, dithering and half-toning, warping and morphing and image processing.This second edition reflects recent trends in science andtechnology that exploit image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered as are: A modern approach and new developments in the area, Probability theory for image processing, Applications in image analysis and computer vision.

Provides a modern introduction to both the underlying mathematics and the main concepts and techniques of the subject

Signal Theory.- Random Processes.- Fundamentals of Color.- Color Systems.- Digital Images.- Operations on Images.- Sampling and Reconstruction.- Multiscale Analysis and Wavelets.- Probabilistic Image Models.- Color Quantization.- Digital Halftoning.- Image Compression.- Combining Images.- Warping and Morphing.- Image Systems.