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Media-dependent color appearance modeling based on artificial neural networks

โœ Scribed by Binghua Chai; Ningfang Liao; Dazun Zhao; Weiping Yang

Publisher
John Wiley and Sons
Year
2006
Tongue
English
Weight
267 KB
Volume
31
Category
Article
ISSN
0361-2317

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โœฆ Synopsis

Abstract

In this study, we tried to consider various color appearance factors and device characterization together by visual experiment to simplify the acrossโ€media color appearance reproduction. Two media, CRT display (softโ€copy) and NCS color atlas (hardโ€copy), were used in our study. A total of 506 sample pairs of RGB and HVC, which are the attributes of NCS color chips, were obtained according to psychophysical experiments by matching soft copy and hard copy by a panel of nine observers. In addition, a set of error backโ€propagation neural networks was used to realize experimental data generalization. In order to get a more perfect generalizing effect, the whole samples were divided into four parts according to different hues and the conversion between HVC and R~HVC~G~HVC~B~HVC~ color space was implemented. The current results show that the displays on the CRT and the color chips can match well. In this way, a CRTโ€dependent reproduction modeling based on neural networks was formed, which has strong practicability and can be applied in many aspects. ยฉ 2006 Wiley Periodicals, Inc. Col Res Appl, 31, 218โ€“228, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/col.20209

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