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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 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.
A range of increasingly complex color appearance models appeared to model the behavior of human vision under different viewing conditions, but ended up less used due to the added inputs required and overall algorithmic complexity. In addition, the performance of the 1976 color spaces under different viewing conditions is not their only problem.
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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.
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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]