Color Gamut Mapping (The Wiley-IS&T Series in Imaging by Ján Morovič

By Ján Morovič

Gamut mapping algorithms, carried out via colour administration platforms, are a vital part of the colour replica strategy. through adjusting the colours with acceptable algorithms, gamut mapping permits unique colours to ‘fit’ within another way formed colour gamuts and authentically transfers pictures throughout quite a number media.  This ebook illustrates the variety of attainable gamut mapping techniques for cross-media colour copy, evaluates the functionality of assorted techniques and advises on designing new, greater ideas. beginning with overviews of colour technology, copy and administration, the textual content includes: a distinctive survey of ninety+ gamut mapping algorithms protecting color-by-color relief and enlargement, spatial aid, spectral relief and gamut mapping for area of interest applications;a step by step instance of a color’s trip from unique to copy, through a electronic workflow;a certain research of colour gamut computation, together with a comparability of other thoughts and an indication of the gamuts of salient colour units and media;a presentation of either measurement-based and psychovisual evaluate of person colour reproductions;an assessment of different ways to gamut mapping proposed by way of the ISO and the CIE together with an research of the development blocks of gamut mapping algorithms and the standards affecting their performance.Color Gamut Mapping is a accomplished source for training colour and imaging engineers, scientists and researchers operating within the improvement of imaging units, software program and solutions.  it's also a priceless reference for college students of colour and imaging technology, in addition to photographers, image designers and artists.

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8 nm (blue, B). 11a shows the amount of each of them that is needed to match a stimulus that has energy only in a specific wavelength interval of the visible spectrum. 1 units of G light. e. monochromatic) stimuli across the spectrum, are called color matching functions (CMFs). 11 CIE 1931 Standard Colorimetric Observer: (a) "r , "g , b transformation – the x, "y, "z CMFs. color matching behavior. g. 3 of B). 8, where the principles of color reproduction are introduced. e. 11b), which are a ubiquitous means of colorimetric quantification.

For further information on light sources and illuminants, see (Hunt, 1995a: chapter 4) and Luo (1998). 10b). In addition to spectral reflectance or transmittance, an object's shape, refractive index and surface texture, microstructure and topography also affect the properties of light that arrive from it at a viewer's retina. g. e. g. polished metal has a glossy surface). 24 COLOR GAMUT MAPPING For further details on light–object interactions, see Sinclair (1997). 10), which in turn also allows for the prediction of how a given surface would interact with other illuminating light sources.

X1 À X2 Þ2 þ ðY1 À Y2 Þ2 þ ðZ1 À Z2 Þ2 Š0:5 . If the CIE XYZ (or CIE RGB) color space were uniform, then a given distance would always correspond to the same perceived difference regardless of where in color space the two stimuli were. In other words, two green stimuli and two red stimuli with the same distance between them would look equally different. However, it turns out that CIE XYZ is highly nonuniform and, in the case of our example, the green pair would look much more similar than the red one, even though their distances in XYZ would be the same (MacAdam, 1942).

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