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A Novel Method for Computing Optimum Weights for Calculating CIE Tristimulus Values
C. J. Li
M. R. Luo
B. Rigg
  DOI :  10.2352/CGIV.2002.1.1.art00047  Published Online :  January 2002
Abstract

A study by Fairman showed that the optimum weights calculated by Venable's method performs better in most cases in comparison with those calculated using the Stern's correction method. However, the Venable method is an iterative method. Although these weights are effective in reducing computation errors, the method is difficult to implement. In this study, a simple analytical method is described for computing optimum weights. Its performance was tested together with the other methods. The results showed that the optimum weights from the new method performs equally well or better compared with the Venable's optimum weights.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CGIV.2002.1.1.art00047
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C. J. Li, M. R. Luo, B. Rigg, "A Novel Method for Computing Optimum Weights for Calculating CIE Tristimulus Values"  in Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision,  2002,  pp 216 - 220,  https://doi.org/10.2352/CGIV.2002.1.1.art00047

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Copyright © Society for Imaging Science and Technology 2002
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20020101)2002:1L.216;1-
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Articles
A Novel Method for Computing Optimum Weights for Calculating CIE Tristimulus Values
LiC. J.
LuoM. R.
RiggB.
01012002
2002
1
216
220
2002
A study by Fairman showed that the optimum weights calculated by Venable's method performs better in most cases in comparison with those calculated using the Stern's correction method. However, the Venable method is an iterative method. Although these weights are effective in reducing computation errors, the method is difficult to implement. In this study, a simple analytical method is described for computing optimum weights. Its performance was tested together with the other methods. The results showed that the optimum weights from the new method performs equally well or better compared with the Venable's optimum weights.