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Estimating the amount of cyan, magenta, yellow, and black inks in arbitrary colour pictures
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0003-2185-8973
Department of Applied Electronics, Kaunas University of Technology, Studentu 50, 51368 Kaunas, Lithuania.
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
2007 (English)In: Neural computing & applications (Print), ISSN 0941-0643, E-ISSN 1433-3058, Vol. 16, no 2, p. 187-195Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
London: Springer London, 2007. Vol. 16, no 2, p. 187-195
Keywords [en]
Neural networks, Kernel ridge regression, Support vector regression, Offset printing, Colour print quality
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-2063DOI: 10.1007/s00521-006-0066-6ISI: 000244199900009Scopus ID: 2-s2.0-33847284030Local ID: 2082/2458OAI: oai:DiVA.org:hh-2063DiVA, id: diva2:239281
Available from: 2008-10-18 Created: 2008-10-18 Last updated: 2018-03-23Bibliographically approved

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Verikas, AntanasNilsson, Carl-Magnus

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Halmstad Embedded and Intelligent Systems Research (EIS)Intelligent systems (IS-lab)
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