Share Email Print
cover

Proceedings Paper

Color prediction modeling for five-channel CMYLcLm printing
Author(s): Yuanyuan Qu; Paula Zitinski Elias; Sasan Gooran
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In printing, halftoning algorithms are applied in order to reproduce a continuous-tone image by a binary printing system. The image is transformed into a bitmap composed of dots varying in size and/or frequency. Nevertheless, this causes that the sparse dots found in light shades of cyan (C) and magenta (M) appear undesirably noticeable against white substrate. The solution is to apply light cyan (Lc) and light magenta (Lm) inks in those regions. In order to predict the color of CMYLcLm prints, we make use of the fact that Lc and Lm have similar spectral characteristics as C and M respectively. The goal of this paper is to present a model to characterize a five-channel CMYLcLm printing system using a three-channel color prediction model, where we treat the ink combinations Lc+C and Lm+M as new compound inks. This characterization is based on our previous three-channel CMY color prediction model that is capable of predicting both colorimetric tri-stimulus values and spectral reflectance. The drawback of the proposed model in this paper is the requirement of large number of training samples. Strategies are proposed to reduce this number, which resulted in expected larger but acceptable color differences.

Paper Details

Date Published: 3 February 2014
PDF: 11 pages
Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 901508 (3 February 2014); doi: 10.1117/12.2035736
Show Author Affiliations
Yuanyuan Qu, Linköping Univ. (Sweden)
Paula Zitinski Elias, Linköping Univ. (Sweden)
Sasan Gooran, Linköping Univ. (Sweden)


Published in SPIE Proceedings Vol. 9015:
Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)

© SPIE. Terms of Use
Back to Top