1. Estimating the amount of cyan, magenta, yellow, and black inks in arbitrary colour pictures
- Author
-
Carl-Magnus Nilsson, Marija Bacauskiene, and Antanas Verikas
- Subjects
business.industry ,Cyan ,Local kernel ,Kernel method ,Artificial Intelligence ,visual_art ,Kernel ridge regression ,visual_art.visual_art_medium ,Offset printing ,RGB color model ,Computational Science and Engineering ,Computer vision ,Artificial intelligence ,business ,Magenta ,Software ,Mathematics - Abstract
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.
- Published
- 2006