Categorical color mapping for gamut mapping: II. Using block average image

Hideto Motomura

doi:10.1117/12.334549

22 December 1998 Categorical color mapping for gamut mapping: II. Using block average image

Hideto Motomura

Proceedings Volume 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV; (1998) https://doi.org/10.1117/12.334549
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Several improvements of categorical color mapping are introduced in this paper. The categorical color mapping decides the best mapping point to keep categorical relationship between a source device and a destination device. The first improvement is that the Simplex iteration technique was implemented to the categorical color mapping in order to search the best mapping point in the destination space. The second improvement is that the categorical color mapping is designed in the CIELAB space. A block average image was used as color patches for the categorical color naming to developed a new gamut mapping strategy that challenges to carry on an image gamut mapping instead of a device gamut mapping. The above two improvements and the new trial are introduced for gamut mapping of a CRT to a printer.

Citation Download Citation

Hideto Motomura "Categorical color mapping for gamut mapping: II. Using block average image", Proc. SPIE 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV, (22 December 1998); https://doi.org/10.1117/12.334549

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