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A colour printer calibration method based on gamut division algorithms
Author(s) -
Sun Bangyong,
Liu Han,
Zhou Shisheng,
Xing Junhong,
Cao Congjun,
Zheng Yuanlin
Publication year - 2014
Publication title -
coloration technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.297
H-Index - 49
eISSN - 1478-4408
pISSN - 1472-3581
DOI - 10.1111/cote.12112
Subject(s) - gamut , computer science , sample (material) , division (mathematics) , point (geometry) , calibration , algorithm , space (punctuation) , artificial intelligence , mathematics , artificial neural network , computer vision , computer graphics (images) , arithmetic , statistics , geometry , chemistry , chromatography , operating system
A colour printer calibration method based on gamut division algorithms is proposed in this paper, with the main task of converting colours from CIEL ab coordinates to CMYK space. The printer 3D gamut is firstly divided into seven subgamuts according to the K values of sample data, and then the subgamuts, which enclose the given point in CIEL ab space, are found. Because the K value stays the same for all sample colours of the determined subgamuts, a polynomial regression method is employed to convert the colours from CIEL ab space to CMY . Finally, by using black generation coefficients, the complete CMYK s are obtained according to the image characteristics. In experiments, for 256 test colours, the mean colour error of our algorithm, measured as Δ E ab ∗ , is 1.45, which is acceptable for most printing products. Furthermore, the errors are less than those in both Neugebauer equations and the neural network method. These positive features suggest that the precision of our method is acceptable.