Paper
22 December 1998 Three-dimensional gamut mapping using various color difference formulae and color spaces
Masahiko Ito, Naoya Katoh
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Abstract
Gamut mapping is a technique to transform out-of-gamut colors to the inside of the output device's gamut. It is essential to develop effective mapping algorithms to realize WYSIWYG color reproduction. In this paper, 3D gamut mapping using various color difference formulae and color spaces are considered. Visual experiments were performed to evaluate which combination of color difference formula and color space for gamut mapping was most preferred for five images. The color difference formula used in the experiments were (Delta) E*ab, (Delta) E*uv, (Delta) E94, (Delta) ECMC, (Delta) EBFD, and (Delta) Ewt. The color spaces used in the experiments were CIELAB, CIELUV, CIECAM97s, IPT and NC-IIIC. A clipping method was used that maps all out- of-gamut colors to the surface of the gamut, and no change was made to colors inside the gamut. It was found that gamut mapping using (Delta) E94, (Delta) ECMC, and (Delta) Ewt were effective in CIELAB color space. For mapping images containing a large portion of blue colors, (Delta) EBFD and (Delta) E*uv were found to be more effective. (Delta) E*ab was least preferred for all images. With respect to color spaces, gamut mapping performed in the CIELUV color space was superior to any other color spaces for the blue region. We conclude that (Delta) E94-LUV and (Delta) EBFD-LAB are the most useful combinations of color difference formula and color pace for gamut mapping, if we are to apply a single combination universally.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Masahiko Ito and Naoya Katoh "Three-dimensional gamut mapping using various color difference formulae and color spaces", Proc. SPIE 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV, (22 December 1998); https://doi.org/10.1117/12.334547
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Color difference

CRTs

Printing

Visualization

Associative arrays

Mahalanobis distance

Algorithm development

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