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Volume: 10 | Article ID: art00007
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The Performance of CIECAM02
Changjun Li
M. Ronnier Luo
Robert W. G. Hunt
Nathan Moroney
Mark D. Fairchild
Todd Newman
  DOI :  10.2352/CIC.2002.10.1.art00007  Published Online :  January 2002
Abstract

A new CIE color appearance model (CIECAM02) has been developed. This paper describes the three major drawbacks of the earlier CIECAM97s model, and shows how the new model performs in these color regions. In addition, both models were tested using available data groups. The results are consistent in that CIECAM02 performed as well as, or better than, CIECAM97s in almost all cases, there being a large improvement in the prediction of saturation. The CIECAM02 model can therefore be considered as a possible replacement for CIECAM97s for all image applications.

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.art00007
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Changjun Li, M. Ronnier Luo, Robert W. G. Hunt, Nathan Moroney, Mark D. Fairchild, Todd Newman, "The Performance of CIECAM02"  in Proc. IS&T 10th Color and Imaging Conf.,  2002,  pp 28 - 32,  https://doi.org/10.2352/CIC.2002.10.1.art00007

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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.28;1-
cic_v2002n1/splitsection7.xml
/ist/cic/2002/00002002/00000001/art00007
Articles
The Performance of CIECAM02
LiChangjun
LuoM. Ronnier
HuntRobert W. G.
MoroneyNathan
FairchildMark D.
NewmanTodd
01012002
2002
1
28
32
2002
A new CIE color appearance model (CIECAM02) has been developed. This paper describes the three major drawbacks of the earlier CIECAM97s model, and shows how the new model performs in these color regions. In addition, both models were tested using available data groups. The results are consistent in that CIECAM02 performed as well as, or better than, CIECAM97s in almost all cases, there being a large improvement in the prediction of saturation. The CIECAM02 model can therefore be considered as a possible replacement for CIECAM97s for all image applications.