LMS, is a color space which represents the response of the three types of cones of the human eye, named for their responsivity peaks at long, medium, and short wavelengths. The numerical range is generally not specified, except that the lower end is generally bounded by zero. It is common to use the LMS color space when performing chromatic adaptation. It's also useful in the study of color blindness, when one or more cone types are defective.
XYZ to LMS
Typically, colors to be adapted chromatically will be specified in a color space other than LMS. 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 the XYZ color space to the LMS color space. However, many color adaption methods, or color appearance models, use matrices to convert to spaces other than LMS, and apply a von Kries-like diagonal matrix in that space. The CAT matrices for some CAMs in terms of CIEXYZ coordinates are presented here. ; Notes :
The Hunt and RLAB color appearance models use the Hunt-Pointer-Estevez transformation matrix for conversion from CIE XYZ to LMS. This is the transformation matrix which was originally used in conjunction with the von Kries transform method, and is therefore also called von Kries transformation matrix.
The original CIECAM97s color appearance model uses the Bradford transformation matrix . This is a “spectrally sharpened” transformation matrix. The Bradford transformation matrix was supposed to work in conjunction with a modified von Kries transform method which introduced a small non-linearity in the S channel. However, outside of CIECAM97s and LLAB this is often neglected and the Bradford transformation matrix is used in conjunction with the linear von Kries transform method, explicitly so in ICC profiles. A revised version of CIECAM97s switches back to a linear transform method and introduces a corresponding transformation matrix :
CIECAM02
is the successor to CIECAM97s; its transformation matrix is:
