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Digital technology now enables unparalleled functionality and flexibility in the capture, processing, exchange, and output of color images. But harnessing its potential requires knowledge of color science, systems, processing algorithms, and device characteristics-topics drawn from a broad range of disciplines. One can acquire the requisite background with an armload of physics, chemistry, engineering, computer science, and mathematics books and journals- or one can find it here, in the Digital Color Imaging Handbook.
Unprecedented in scope, this handbook presents, in a single concise and authoritative publication, the elements of these diverse areas relevant to digital color imaging. The first three chapters cover the basics of color vision, perception, and physics that underpin digital color imaging. The remainder of the text presents the technology of color imaging with chapters on color management, device color characterization, digital halftoning, image compression, color quantization, gamut mapping, computationally efficient transform algorithms, and color image processing for digital cameras.
Each chapter is written by world-class experts and largely self-contained, but cross references between chapters reflect the topics' important interrelations. Supplemental materials are available for download from the CRC Web site, including electronic versions of some of the images presented in the book.
The exponential growth in the use of color receiving and display instruments makes this handbook a must for students, engineers, and scientists in image processing and a range of related disciplines. It provides comprehensive coverage of the field, examining the fundamentals of color perception, color measurement, and color appearance. It describes current applications and the technology and the impact of color input and output devices on color rendition. It also explores how to improve on the processing of color images, how to calibrate instruments, split pixels, and digitally process color images.
Color Fundamentals for Digital Imaging, Gaurav Sharma, Xerox Corporation
Visual Psychophysics and Color Appearance, Garrett M. Johnson and Mark D. Fairchild, Rochester Institute of Technology
Physical Models for Color Prediction, Patrick Emmel, Clariant International
Color Management for Digital Imaging Systems, Edward J. Giorgianni, Thomas E. Madden and Kevin E. Spaulding, Eastman Kodak Company
Device Characterization, Raja Bala, Xerox Corporation
Digital Color Halftones, Charles M Hains, Shen-ge Wang, and Keith T. Knox, Xerox Corporation
Human Visual Model Based Color Halftoning, A. Ufuk Agar, Hewlett Packard Company, Farhan A. Baqai, Sony Electronics, and Jan P. Allebach, Purdue University
Compression of Color Images, Ricardo de Queiroz, Xerox Corporation
Color Quantization, Luc Brun, Université Reims, Champagne Ardenne and Alain Trémeau, Université Jean Monnet de Saint-Etienne
Gamut Mapping, Ján Moroviç, University of Derby
Efficient Color Transformation Implementation, Raja Bala and R. Victor Klassen, Xerox Corporation
Color Image Processing for Digital Cameras, Ken Parulski and Kevin E. Spaulding, Eastman Kodak Company