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CLC number: TN942.1

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Received: 2005-10-31

Revision Accepted: 2005-12-13

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.6 P.1041~1045


Colorimetric characterization of imaging device by total color difference minimization

Author(s):  MOU Tong-sheng, SHEN Hui-liang

Affiliation(s):  State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   shenhl@zju.edu.cn

Key Words:  Colorimetric characterization, Color difference, Imaging device

MOU Tong-sheng, SHEN Hui-liang. Colorimetric characterization of imaging device by total color difference minimization[J]. Journal of Zhejiang University Science A, 2006, 7(6): 1041~1045.

@article{title="Colorimetric characterization of imaging device by total color difference minimization",
author="MOU Tong-sheng, SHEN Hui-liang",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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%T Colorimetric characterization of imaging device by total color difference minimization
%A MOU Tong-sheng
%A SHEN Hui-liang
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%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1041

T1 - Colorimetric characterization of imaging device by total color difference minimization
A1 - MOU Tong-sheng
A1 - SHEN Hui-liang
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 6
SP - 1041
EP - 1045
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A1041

colorimetric characterization is to transform the device-dependent responses to device-independent colorimetric values, and is usually conducted in CIEXYZ space. However, the optimal solution in CIEXYZ space does not mean the minimization of perceptual error. A novel method for colorimetric characterization of imaging device based on the minimization of total color difference is proposed. The method builds the transform between RGB space and CIELAB space directly using the downhill simplex algorithm. Experimental results showed that the proposed method performs better than traditional least-square (LS) and total-least-square (TLS) methods, especially for colors with low luminance values.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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