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Volume: 10 | Article ID: art00026
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Minimal Knowledge versus the Real World
Graham D. Finlayson
Julia Paul
  DOI :  10.2352/CIC.2002.10.1.art00026  Published Online :  January 2002
Abstract

In this paper we show that Viggiano's Minimal Knowledge assumption can be used for color correction when the illumination is known. Indeed, given a known illuminant we find that real data is well modelled by the Minimal Knowledge assumption. Experiments demonstrate that color correction based on the Minimal Knowledge assumption is similar to that based on real data.

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.2002.10.1.art00026
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Graham D. Finlayson, Julia Paul, "Minimal Knowledge versus the Real World"  in Proc. IS&T 10th Color and Imaging Conf.,  2002,  pp 133 - 138,  https://doi.org/10.2352/CIC.2002.10.1.art00026

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Copyright © Society for Imaging Science and Technology 2002
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(20020101)2002:1L.133;1-
cic_v2002n1/splitsection26.xml
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Articles
Minimal Knowledge versus the Real World
FinlaysonGraham D.
PaulJulia
01012002
2002
1
133
138
2002
In this paper we show that Viggiano's Minimal Knowledge assumption can be used for color correction when the illumination is known. Indeed, given a known illuminant we find that real data is well modelled by the Minimal Knowledge assumption. Experiments demonstrate that color correction based on the Minimal Knowledge assumption is similar to that based on real data.