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In this issue

In this issue of eight sets of error back-propagation neural networks. The results can be applied to computer-aided arts design among other things. The title of their article is “Media-Dependent Color Appearance Modeling Based on Artificial Neural Networks.” The second article is specific to printing. In recent years various spectral models have been developed to estimate the behavior of color printers. Probably the most used and discussed model is the Yule-Nielsen modification of the Neugebauer model. In this article, Philipp Urban and RolfRanier Grigat introduce a simple new method for “SpectralBased Color Separation Using Linear Regression Iteration.” In this model a sequence of colorant combinations is constructed that converges to the combination that approximates the desired color. The end test to confirm the result is the smallest root- mean-square error. This model is particularly useful to those users who do not want to use look-up tables. In our Communications and Comments section we have a note from Manuel Melgosa. He is contributing an “Improvement of CMC upon CIEDE2000 for a New Experimental Dataset.” Last year Magine, Jakes, and Noel published “A preliminary comparison of CIE color differences to textile color acceptability using average observers,” in this journal [Vol 30: 288 –294]. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Color Research & Application Wiley

In this issue

Color Research & Application , Volume 31 (3) – Jun 1, 2006

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Publisher
Wiley
Copyright
Copyright © 2006 Wiley Periodicals, Inc.
ISSN
0361-2317
eISSN
1520-6378
DOI
10.1002/col.20219
Publisher site
See Article on Publisher Site

Abstract

of eight sets of error back-propagation neural networks. The results can be applied to computer-aided arts design among other things. The title of their article is “Media-Dependent Color Appearance Modeling Based on Artificial Neural Networks.” The second article is specific to printing. In recent years various spectral models have been developed to estimate the behavior of color printers. Probably the most used and discussed model is the Yule-Nielsen modification of the Neugebauer model. In this article, Philipp Urban and RolfRanier Grigat introduce a simple new method for “SpectralBased Color Separation Using Linear Regression Iteration.” In this model a sequence of colorant combinations is constructed that converges to the combination that approximates the desired color. The end test to confirm the result is the smallest root- mean-square error. This model is particularly useful to those users who do not want to use look-up tables. In our Communications and Comments section we have a note from Manuel Melgosa. He is contributing an “Improvement of CMC upon CIEDE2000 for a New Experimental Dataset.” Last year Magine, Jakes, and Noel published “A preliminary comparison of CIE color differences to textile color acceptability using average observers,” in this journal [Vol 30: 288 –294].

Journal

Color Research & ApplicationWiley

Published: Jun 1, 2006

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