Evaluating Chromatic Adaptation Transform Performance

The performance of many color science and imaging algorithms are evaluated based on their mean errors. However, if these errors are not normally distributed, statistical evaluations based on the mean are not appropriate performance metrics. We present a non-parametric method, called the Wilcoxon signed-rank test, which can be used to evaluate performance without making any underlying assumption of the error distribution. When applying the metric to the performance of chromatic adaptation transforms on corresponding color data, we can derive a new CAT that statistically significantly outperforms CAT02 at the 95% confidence level.


Published in:
Proc. IS&T/SID 13th Color Imaging Conference, 75-78
Presented at:
IS&T/SID 13th Color Imaging Conference, Scottsdale, AZ, November 2005
Year:
2005
Keywords:
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 Record created 2005-07-09, last modified 2018-03-17

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