Assessment | Biopsychology | Comparative | Cognitive | Developmental | Language | Individual differences | Personality | Philosophy | Social |
Methods | Statistics | Clinical | Educational | Industrial | Professional items | World psychology |

Cognitive Psychology: Attention · Decision making · Learning · Judgement · Memory · Motivation · Perception · Reasoning · Thinking  - Cognitive processes Cognition - Outline Index

File:Cones SMJ2 E.svg

Normalized responsivity spectra of human cone cells, S, M, and L types

LMS is a color space represented by the response of the three types of cones of the human eye, named after their responsivity (sensitivity) at long, medium and short wavelengths.

It is common to use the LMS color space when performing chromatic adaptation (estimating the appearance of a sample under a different illuminant).

XYZ to LMS[edit | edit source]

Typically, the color to be adapted will be specified in a color space other than LMS, but easily convertible to XYZ. The chromatic adaptation matrix in the von Kries transform method, however, is diagonal in LMS space, thus the usefulness of a transformation matrix M between spaces. The transformation matrices for some chromatic adaptation models in terms of CIEXYZ coordinates are presented here.


CMCCAT97[edit | edit source]

The CMCCAT97 color appearance model uses the Bradford transformation matrix (MB):[2]

RLAB[edit | edit source]

The RLAB color appearance model uses the Hunt-Pointer-Estevez (HPE) transformation matrix (MH) for conversion from CIE XYZ to LMS:[1][3]

Equal-energy illuminants:
Normalized to D65:

CAT97s[edit | edit source]

CIECAM97s uses a spectrally-sharpened Bradford chromatic adaptation matrix:[1]

CAT02[edit | edit source]

The chromatic adaptation matrix (MCAT02) from the CIECAM02 model is:[1]

See also[edit | edit source]

References[edit | edit source]

  1. 1.0 1.1 1.2 1.3 1.4 Fairchild, Mark D. (2005). Color Appearance Models, 2E, Wiley Interscience.
  2. Westland, Stephen; Ripamonti, Caterina (2004). "6.2.2 CMCCAT97" Computational Colour Science Using MATLAB, Wiley Interscience.
  3. Moroney, Nathan; Fairchild, Mark D.; Hunt, Robert W.G.; Li, Changjun; Luo, M. Ronnier; Newman, Todd (November 12 2002). "The CIECAM02 Color Appearance Model". IS&T/SID Tenth Color Imaging Conference, Scottsdale, Arizona: The Society for Imaging Science and Technology. ISBN 0-89208-241-0. 

This page uses Creative Commons Licensed content from Wikipedia (view authors).
Community content is available under CC-BY-SA unless otherwise noted.