Huang Zheng, Chen Wei, Liu Qiang, Wang Yu, Pointer Michael R, Liu Ying, Liang Jinxing
Opt Express. 2021 Mar 1;29(5):6302-6319. doi: 10.1364/OE.413389.
Colour preference is a critical dimension for describing the colour quality of lighting and numerous metrics have been proposed. However, due to the variation amongst psychophysical studies, consensus has not been reached on the best approach to quantify colour preference. In this study, 25 typical colour quality metrics were comprehensively tested based on 39 groups of psychophysical data from 19 published visual studies. The experimental results showed that two combined metrics: the arithmetic mean of the gamut area index (GAI) and colour rendering index (CRI) and the colour quality index (CQI), a combination of the correlated colour temperature (CCT) and memory colour rendering index (MCRI), exhibit the best performance. Q in the colour quality scale (CQS) and MCRI also performed well in visual experiments of constant CCT but failed when CCT varied, which highlights the dependence of certain metrics on contextual lighting conditions. In addition, it was found that some weighted combinations of an absolute gamut-based metric and a colour fidelity metric exhibited superior performance in colour preference prediction. Consistent with such a result, a novel metric named MCPI (colour preference index based on meta-analysis) was proposed by fitting the large psychophysical dataset, and this achieved a significantly higher weighted average correlation coefficient between metric predictions and subjective preference ratings.
颜色偏好是描述照明颜色质量的一个关键维度，并且已经提出了许多指标。然而，由于心理物理学研究之间存在差异，对于量化颜色偏好的最佳方法尚未达成共识。在本研究中，基于19项已发表视觉研究中的39组心理物理学数据，对25种典型的颜色质量指标进行了全面测试。实验结果表明，两个综合指标：色域面积指数（GAI）和显色指数（CRI）的算术平均值以及颜色质量指数（CQI）（相关色温（CCT）和记忆显色指数（MCRI）的组合）表现最佳。颜色质量量表（CQS）中的Q和MCRI在恒定CCT的视觉实验中也表现良好，但在CCT变化时则表现不佳，这突出了某些指标对环境照明条件的依赖性。此外，研究发现，基于绝对色域的指标和颜色保真度指标的一些加权组合在颜色偏好预测中表现出卓越的性能。与这一结果一致，通过拟合大量心理物理学数据集，提出了一种名为MCPI（基于元分析的颜色偏好指数）的新指标，该指标在指标预测与主观偏好评分之间实现了显著更高的加权平均相关系数。
