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Color‐appearance reproduction: Visual data and predictive modeling

Color‐appearance reproduction: Visual data and predictive modeling Corresponding‐colors data for complex images were obtained using an adjustment method. Experiments were carried out for printed images viewed at a high luminance in a light surround under CIE illuminant D50 simulators that were matched by CRT‐displayed images using both CIE illuminant D65 and D50 white points at a lower luminance level in a dark surround. The results show expected chromatic adaptation effects, but indicate little or no surround and luminance level effects. The data were then used to evaluate various color‐appearance models and chromatic adaptation transforms. It was shown that a simple linear transformation of tristimulus values between viewing conditions provided a good description of the data. The recently proposed CIECAM97s model performed among the best models when it was adjusted to account for the lack of a surround effect in these data. © 1999 John Wiley & Sons, Inc. Col Res Appl, 24, 121–131, 1999 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Color Research & Application Wiley

Color‐appearance reproduction: Visual data and predictive modeling

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References (32)

Publisher
Wiley
Copyright
Copyright © 1999 John Wiley & Sons, Inc.
ISSN
0361-2317
eISSN
1520-6378
DOI
10.1002/(SICI)1520-6378(199904)24:2<121::AID-COL7>3.0.CO;2-I
Publisher site
See Article on Publisher Site

Abstract

Corresponding‐colors data for complex images were obtained using an adjustment method. Experiments were carried out for printed images viewed at a high luminance in a light surround under CIE illuminant D50 simulators that were matched by CRT‐displayed images using both CIE illuminant D65 and D50 white points at a lower luminance level in a dark surround. The results show expected chromatic adaptation effects, but indicate little or no surround and luminance level effects. The data were then used to evaluate various color‐appearance models and chromatic adaptation transforms. It was shown that a simple linear transformation of tristimulus values between viewing conditions provided a good description of the data. The recently proposed CIECAM97s model performed among the best models when it was adjusted to account for the lack of a surround effect in these data. © 1999 John Wiley & Sons, Inc. Col Res Appl, 24, 121–131, 1999

Journal

Color Research & ApplicationWiley

Published: Apr 1, 1999

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