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A chromatic adaptation transform (CAT) function emulates this important aspect of color perception in color appearance models. An object may be viewed under various conditions. For example, it may be illuminated by sunlight, the light of a fire, or a harsh electric light.
One of the derivations of the von Kries coefficient law is the von Kries transform, a chromatic adaptation method that is sometimes used in camera image processing. Using the coefficient law, cone responses ′ from two radiant spectra can be matched by appropriate choice of diagonal adaptation matrices D 1 and D 2: [12]
Perform chromatic adaptation using CAT02 (also known as the "modified CMCCAT2000 transform"). Convert to an LMS space closer to the cone fundamentals. It is argued that predicting perceptual attribute correlates is best done in such spaces. [5] Perform post-adaptation cone response compression.
The chromatic adaptation matrix in the diagonal von Kries transform method, however, operates on tristimulus values in the LMS color space. Since colors in most colorspaces can be transformed to the XYZ color space, only one additional transformation matrix is required for any color space to be adapted chromatically: to transform colors from ...
For the human eye, a piece of white paper looks white no matter whether the illumination is blueish or yellowish. This is the most basic and most important of all color appearance phenomena, and therefore a chromatic adaptation transform (CAT) that tries to emulate this behavior is a central component of any color appearance model.
In color science, chromatic adaptation is the estimation of the representation of an object under a different light source from the one in which it was recorded. A common application is to find a chromatic adaptation transform (CAT) that will make the recording of a neutral object appear neutral ( color balance ), while keeping other colors ...
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CIELUV uses Judd-type (translational) white point adaptation (in contrast with CIELAB, which uses a von Kries transform). [1] This can produce useful results when working with a single illuminant, but can predict imaginary colors (i.e., outside the spectral locus) when attempting to use it as a chromatic adaptation transform. [2]