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Calculating cyan-magenta-yellow-black (CMYK) printer gray component data based on polynomial modeling
Author(s) -
Bangyong Sun,
Han Liu,
Shisheng Zhou
Publication year - 2014
Publication title -
scientific research and essays
Language(s) - English
Resource type - Journals
ISSN - 1992-2248
DOI - 10.5897/sre2014.5915
Subject(s) - cyan , magenta , gray (unit) , color balance , color difference , color space , computer science , artificial intelligence , high color , computer graphics (images) , polynomial regression , rgb color model , mathematics , lightness , icc profile , computer vision , color model , color image , regression analysis , inkwell , statistics , optics , image processing , physics , speech recognition , medicine , enhanced data rates for gsm evolution , image (mathematics) , radiology
As gray color data is very important for printing quality, a method based on polynomial modeling is proposed to calculate the gray color data of different lightness. Firstly, the IT8.7/3 color target which defines input cyan-magenta-yellow-black (CMYK) signals is printed, and the corresponding CIELAB (Commission Internationale de l'Eclairage L*, a* and b*) values are obtained by a spectrophotometer with color sensors. Secondly, the polynomial regression method is used to determine the relationship between these two color spaces, in which the given CIELAB color’s CMY value is calculated. At last, as the obtained cyan-magenta-yellow (CMY) gray color may contain Chroma information due to the computational error, a new color target is developed to find the real gray colors based on the relationship above, and the final relationship between CIE-L* and CMY are obtained. In the experiment, the average color error is 2.65ΔE, which is below the printing error threshold, hence the proposed algorithm for calculating gray color data can be used in printing process.   Key words: Gray balance, polynomial modeling, CIELAB (Commission Internationale de l'Eclairage L*, a* and b*) color, color sensors.

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