Digital Color Imaging Handbook (Google eBook)
Gaurav Sharma, Raja Bala
CRC Press, Dec 23, 2002 - Technology & Engineering - 816 pages
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.
What people are saying - Write a review
We haven't found any reviews in the usual places.
algorithm angle applications binary calibration CDBS characterization chromatic adaptation chrominance CIELAB clusters CMYK coefﬁcient color appearance model color constancy color correction color difference color encoding color gamut color halftoning Color Imaging color management color reproduction Color Res color space colorimetric compression computed CxCz cyan deﬁned device-independent deÞned digital halftoning display dot gain Equation error diffusion example ﬁlter ﬁrst ﬂuorescence frequency function gamut boundary gamut mapping given grid halftone halftone screens illuminant Image Processing input interpolation inverse lattice levels light linear luminance magenta match matrix measurements medium metameric method moiré moiré patterns Neugebauer nonlinear optical optical dot gain optimal pattern periodicity matrix pixel plane predict primaries printer model printing Proc proﬁle quantization reﬂectance reßectance result ROMM RGB samples scanner scene Section sensor shown in Figure spatial speciﬁc spectral spectrum SPIE stimulus techniques threshold tion transform tristimulus values vector viewing conditions wavelength Þlter Þrst