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The preceder to IC T C P, Ebner & Fairchild IPT color appearance model (1998), has a mostly similar transformation pipeline of input → LMS → nonlinearity → IPT. [3] [9] The differences are that it defines its input to the more general CIEXYZ tristimulus color space and as a result has a more conventional Hunt-Pointer-Estevez (for D65) matrix for LMS.
The IPT color appearance model excels at providing a formulation for hue where a constant hue value equals a constant perceived hue independent of the values of lightness and chroma (which is the general ideal for any color appearance model, but hard to achieve). It is therefore well-suited for gamut mapping implementations.
The appearance correlates of CIECAM02, J, a, and b, form a uniform color space that can be used to calculate color differences, as long as a viewing condition is fixed. A more commonly-used derivative is the CAM02 Uniform Color Space (CAM02-UCS), an extension with tweaks to better match experimental data.
Physical descriptions of color can be additive (describes mixing of light, RGB) or subtractive (describes mixing of pigment or removal of light, CMYK). Descriptions based on human perception are based on some experimental results on humans. Some models and their variants are employed in parts of the color spaces listed below. [1]
The original CIECAM97s color appearance model uses the Bradford transformation matrix (M BFD) (as does the LLAB color appearance model). [3] This is a “spectrally sharpened” transformation matrix (i.e. the L and M cone response curves are narrower and more distinct from each other).
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iCAM, short for image color appearance model, is developed by Mark D. Fairchild and Garrett M. Johnson and initially published in 2002 at the IS&T/SID 10th Color Imaging Conference in Scottsdale, Arizona. [1] As of May 2019, the latest version appears to be iCAM06, a 2006 revision that expanded tone mapping capacities for HDR. [2]
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