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Paper
29 January 2007 Gamut mapping method for ICC saturated intent
Min-Ki Cho, Heui-Keun Choh, Se-Eun Kim, Yun-Tae Kim, Yousun Bang
Author Affiliations +
Proceedings Volume 6493, Color Imaging XII: Processing, Hardcopy, and Applications; 64930K (2007) https://doi.org/10.1117/12.702916
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
The same image on the display and color printer isn't the same. Firstly, this is due to the bit depth difference for representing the color of a pixel. The display uses the color data of the eight or more bits, but the color printer uses just 1bit for representing color of a pixel. So, the display can reproduce smoother image than the color printer. Secondly, the display gamut is larger than the printer gamut, so the display color is brighter and more saturate than the printer color. For minimizing the problems due to these differences, many halftoning and gamut mapping techniques have been developed. For the gamut mapping, color management standard organization, ICC, recommended 2 gamut mapping methods, HPMINDE and SGCK. But the recommended methods by ICC have some weak points; contouring (HPMINDE), paled pure color reproduction (SGCK) and too reddish hair color reproduction (HPMINDE, SGCK). This paper introduces a gamut mapping method that can reproduce smooth gradation, pure colors with high saturation and natural hair color. The proposed method is developed for optimal reproduction of graphic image, and it also gives good results for pictorial image.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Min-Ki Cho, Heui-Keun Choh, Se-Eun Kim, Yun-Tae Kim, and Yousun Bang "Gamut mapping method for ICC saturated intent", Proc. SPIE 6493, Color Imaging XII: Processing, Hardcopy, and Applications, 64930K (29 January 2007); https://doi.org/10.1117/12.702916
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Printing

CMYK color model

Color reproduction

Nonimpact printing

Visualization

Image analysis

Color management

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