Estimating the amount of cyan, magenta, yellow, and black inks in arbitrary colour pictures

Autor: Carl-Magnus Nilsson, Marija Bacauskiene, Antanas Verikas
Rok vydání: 2006
Předmět:
Zdroj: Neural Computing and Applications. 16:187-195
ISSN: 1433-3058
0941-0643
DOI: 10.1007/s00521-006-0066-6
Popis: This paper is concerned with the offset lithographic colour printing. To obtain high quality colour prints, given proportions of cyan (C), magenta (M), yellow (Y), and black (K) inks (four primary inks used in the printing process) should be accurately maintained in any area of the printed picture. To accomplish the task, the press operator needs to measure the printed result for assessing the proportions and use the measurement results to reduce the colour deviations. Specially designed colour bars are usually printed to enable the measurements. This paper presents an approach to estimate the proportions directly in colour pictures without using any dedicated areas. The proportions—the average amount of C, M, Y, and K inks in the area of interest—are estimated from the CCD colour camera RGB (L*a*b*) values recorded from that area. The local kernel ridge regression and the support vector regression are combined for obtaining the desired mapping L*a*b* ⇒ CMYK, which can be multi-valued.
Databáze: OpenAIRE
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