The CIECAM02 Color Appearance Model

By N. Moroney, M. Fairchild, R. Hunt, Changjun Li, M. Luo, T. Newman. International Conference on Communications in Computing, 2002

438 citations recorded by the source corpus.

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Digital Video Image Quality and Perceptual Coding (2005, methodology): “The CIECAM02 color appearance model [MFH02] is an example of a color appearance model that predicts the relative and absolute color appearance attributes based on specifying the surround conditions (average, dim, or dark), the luminance of the adapting field, the tristimulus values of the reference ”
iCAM06: A refined image appearance model for HDR image rendering (2007, methodology): “(13) and (14), is used to predict a variety of luminance-dependent appearance effects in CIECAM02 and earlier models.”
Measuring colorfulness in natural images (2003, background): “where each symbol is dened in Section 4. Our colourfulness metric is a linear combination of the mean and standard deviation of the pixel cloud in the colour plane of CIELab. The ^ M ( 1 ) metric seems more natural,”
Computational Color Constancy: Survey and Experiments (2011, unknown): “Other possible chromatic adaptation methods include linearized Bradford [41] and CIECAT02 [42].”