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Volume: 19 | Article ID: art00035
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Tone Reproduction and Color Appearance Modeling: Two Sides of the Same Coin?
Erik Reinhard
  DOI :  10.2352/CIC.2011.19.1.art00035  Published Online :  January 2011
Abstract

Color appearance models and tone reproduction algorithms are currently solving different problems. These classes of algorithms are also developed and used in different communities. However, they show remarkable functional similarities. Perhaps there is reason to think that they could in fact be one and the same thing. The advantages would be that we could achieve dynamic range reduction while taking human color vision into account. Vice-versa, we could predict the appearance of color over a large range of intensities. But how to overcome the differences, and how to construct an algorithm that could be both a tone reproduction model as well as a color appearance model?

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CIC.2011.19.1.art00035
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Erik Reinhard, "Tone Reproduction and Color Appearance Modeling: Two Sides of the Same Coin?"  in Proc. IS&T 19th Color and Imaging Conf.,  2011,  pp 171 - 176,  https://doi.org/10.2352/CIC.2011.19.1.art00035

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Copyright © Society for Imaging Science and Technology 2011
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2166-9635(20110101)2011:1L.171;1-
cic_v2011n1/splitsection35.xml
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Articles
Tone Reproduction and Color Appearance Modeling: Two Sides of the Same Coin?
ReinhardErik
01012011
2011
1
171
176
2011
Color appearance models and tone reproduction algorithms are currently solving different problems. These classes of algorithms are also developed and used in different communities. However, they show remarkable functional similarities. Perhaps there is reason to think that they could in fact be one and the same thing. The advantages would be that we could achieve dynamic range reduction while taking human color vision into account. Vice-versa, we could predict the appearance of color over a large range of intensities. But how to overcome the differences, and how to construct an algorithm that could be both a tone reproduction model as well as a color appearance model?