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Volume: 5 | Article ID: art00036
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Adaptive Color Correction by High-Order CMAC Neural Network
Jin-Jou Chen
King-Lung Huang
  DOI :  10.2352/CIC.1997.5.1.art00036  Published Online :  January 1997
Abstract

A self-learning based color correction system which employs the CMAC (Cerebellar Model Articulation Controller) neural network with B-Spline receptive field functions is proposed. The CMAC neural network learns color input and output characteristics of target printer and models the printer. An inverse printer model is then built based on the CMAC printer model. This scheme is adaptive because the CMAC neural network can model all kinds of printer. Experimental results show that the average color difference between the desired color and the printout can be reduced to 3.7 ΔEab when a Kodak DS8650PS dye sublimation color printer is used.

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.1997.5.1.art00036
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Jin-Jou Chen, King-Lung Huang, "Adaptive Color Correction by High-Order CMAC Neural Network"  in Proc. IS&T 5th Color and Imaging Conf.,  1997,  pp 182 - 186,  https://doi.org/10.2352/CIC.1997.5.1.art00036

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Copyright © Society for Imaging Science and Technology 1997
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(19970101)1997:1L.182;1-
cic_v1997n1/splitsection36.xml
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Articles
Adaptive Color Correction by High-Order CMAC Neural Network
ChenJin-Jou
HuangKing-Lung
01011997
1997
1
182
186
1997
A self-learning based color correction system which employs the CMAC (Cerebellar Model Articulation Controller) neural network with B-Spline receptive field functions is proposed. The CMAC neural network learns color input and output characteristics of target printer and models the printer. An inverse printer model is then built based on the CMAC printer model. This scheme is adaptive because the CMAC neural network can model all kinds of printer. Experimental results show that the average color difference between the desired color and the printout can be reduced to 3.7 ΔEab when a Kodak DS8650PS dye sublimation color printer is used.