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.