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Volume: 29 | Article ID: art00027
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A Digital Test Chart for Visual Assessment of Color Appearance Scales
Mark D. Fairchild
  DOI :  10.2352/issn.2169-2629.2021.29.160  Published Online :  November 2021
Abstract

A digital color appearance test chart, akin to a ColorChecker® Chart for human perception, was developed and evaluated both perceptually and computationally. The chart allows an observer to adjust the appearance of a limited number of color patches to allow a quick evaluation of perceived brightness, colorfulness, lightness, saturation, and hue on a display. The resulting data can then be used to compared observed results with the predictions of various color appearance models. Analyses in this paper highlight some known shortcomings of CIELAB, CIECAM02, and CAM16. Differences between CIECAM02 and CAM16 are also highlighted. This paper does not provide new psychophysical data for model testing, it simply describes a technique to generate such data and a computational comparison of models.

Journal Title : Color and Imaging Conference
Publisher Name : Society for Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
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 DOI 10.2352/issn.2169-2629.2021.29.160
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  Cite this article 

Mark D. Fairchild, "A Digital Test Chart for Visual Assessment of Color Appearance Scales"  in Proc. IS&T 29th Color and Imaging Conf.,  2021,  pp 160 - 165,  https://doi.org/10.2352/issn.2169-2629.2021.29.160

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Copyright © Society for Imaging Science and Technology 2021
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA
10.2352/issn.2169-2629.2021.29.160
2166-9635(20211101)2021:29L.160;1-
cic_21669635_v2021n29_input/s27.xml
/ist/cic/2021/00002021/00000029/art00027
Articles
A Digital Test Chart for Visual Assessment of Color Appearance Scales
FairchildMark D.
01112021
2021
29
160
165
2021
A digital color appearance test chart, akin to a ColorChecker® Chart for human perception, was developed and evaluated both perceptually and computationally. The chart allows an observer to adjust the appearance of a limited number of color patches to allow a quick evaluation of perceived brightness, colorfulness, lightness, saturation, and hue on a display. The resulting data can then be used to compared observed results with the predictions of various color appearance models. Analyses in this paper highlight some known shortcomings of CIELAB, CIECAM02, and CAM16. Differences between CIECAM02 and CAM16 are also highlighted. This paper does not provide new psychophysical data for model testing, it simply describes a technique to generate such data and a computational comparison of models.
Color AppearanceModelingVisual Assessment