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Sharma G. (ed.) Digital Color Imaging Handbook

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Sharma G. (ed.) Digital Color Imaging Handbook
Издательство CRC Press, 2003, -667 pp.
The field of color imaging deals with the capture, processing, communication, and reproduction of color images. The origins of color imaging can be traced back to prehistoric times when cave dwellers created the first color drawings depicting events in their lives, using primitive materials and techniques available to them. Since then, color images have played an important role in history, and color imaging has advanced hand in hand with progress in science and technology. In the past 10 to 15 years, this field, like many others, has been significantly transformed by the digital revolution.
Digital color imaging devices such as digital still and video cameras, color scanners, displays, printers, DVD players, and cable/satellite set-top boxes are now commonplace in both home and office environments. A vast majority of color imagery is now captured digitally. An even larger fraction is digital during some part of the image’s life cycle, so it is subject to computer- based processing. Digital technology enables unprecedented functionality and flexibility in the capture, processing, exchange, and output of color images. A knowledge of color science, color systems, appropriate processing algorithms, and device characteristics is necessary to fully harness this functionality and flexibility. As a result, the field of digital color imaging is a highly interdisciplinary area involving elements of physics, visual science, chemistry, psychophysics, computational algorithms, systems engineering, and mathematical optimization. While excellent texts and reference material exist in each of these areas, it has hitherto been the responsibility of researchers in the color imaging field to cull out relevant information. The goal of this handbook is to present aspects of these diverse elements as they relate to digital color imaging in a single and concise compilation. It is my hope that the handbook’s assimilation of these different aspects and perspectives will aid students who are starting out in this area, as well as practitioners and researchers with expertise in specific domains who seek a better understanding of the rest of the system.
Color fundamentals for digital imaging
Visual psychophysics and color appearance
Physical models for color prediction
Color management for digital imaging systems
Device characterization
Digital color halftones
Human visual model-based color halftoning
Compression of color images
Color quantization
Gamut mapping
Efficient color transformation implementation
Color image processing for digital cameras
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