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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.
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.
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).
Oklab's model is fitted with improved color appearance data: CAM16 data for lightness and chroma, and IPT data for hue. The new fit addresses issues such as unexpected hue and lightness changes in blue colors present in the CIELAB color space, simplifying the creation of color schemes and smoother color gradients. [1] [7] [4]
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IPT color space, a method of mapping colors in a video system; iptables, utility program; MATLAB's standard Image Processing Toolbox; Inductive power transfer, a form of wireless power transfer; Inverted page table, a type of page table in a computer operating system