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Volume: 9 | Article ID: art00020
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Darwinism of Color Image Difference Models
Garrett M. Johnson
Mark D. Fairchild
  DOI :  10.2352/CIC.2001.9.1.art00020  Published Online :  January 2001
Abstract

The world of color image difference modeling can be considered relatively young, when compared with the rich history of general color difference equations. While young, this area of research is well beyond the primordial soup stage. In this paper we present a framework for describing the evolution of color image difference models. This framework builds upon the S-CIELAB model, which in turn was built upon the CIELAB model and the CIE color difference equations. The goal is to create a modular, extendable color image difference model.

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
Subject Areas :
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 DOI 10.2352/CIC.2001.9.1.art00020
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  Cite this article 

Garrett M. Johnson, Mark D. Fairchild, "Darwinism of Color Image Difference Models"  in Proc. IS&T 9th Color and Imaging Conf.,  2001,  pp 108 - 112,  https://doi.org/10.2352/CIC.2001.9.1.art00020

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Copyright © Society for Imaging Science and Technology 2001
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(20010101)2001:1L.108;1-
cic_v2001n1/splitsection20.xml
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Articles
Darwinism of Color Image Difference Models
JohnsonGarrett M.
FairchildMark D.
01012001
2001
1
108
112
2001
The world of color image difference modeling can be considered relatively young, when compared with the rich history of general color difference equations. While young, this area of research is well beyond the primordial soup stage. In this paper we present a framework for describing the evolution of color image difference models. This framework builds upon the S-CIELAB model, which in turn was built upon the CIELAB model and the CIE color difference equations. The goal is to create a modular, extendable color image difference model.