Evaluating Chromatic Adaptation Transform Performance

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