School of Computing Science, Simon Fraser University, Vancouver, BC, Canada.
J Vis. 2021 Nov 1;21(12):11. doi: 10.1167/jov.21.12.11.
Color difference sensitivity as represented by the size of discrimination ellipsoids is known to depend on where the colors reside within color space. In the past, various color spaces and color difference formulas have been developed as parametric fits to the experimental data with the goal of establishing a color coordinate system in which equally discriminable colors are equal distances apart. These empirical models, however, provide no explanation as to why color discrimination varies in the way it does. This article considers the hypothesis that the variation in color discrimination tolerances reflects the uncertainty created by the degree of metamer mismatching for a given color. Specifically, the greater the degree of metamer mismatching for a color, the wider the range of spectral reflectances that could have led to it and, hence, the more finely a color needs to be discriminated in order to reliably identify materials and objects. To test this hypothesis, the available color discrimination data sets for surface colors are gathered and analyzed. A strong correlation between color discrimination and the degree of metamer mismatching is found. This correlation provides evidence that metamer mismatching provides an explanation as to why color discrimination varies throughout color space as it does.
颜色差异敏感度由判别椭球的大小表示,据了解,它取决于颜色在颜色空间中的位置。过去,为了在颜色坐标系统中建立等可分辨颜色之间等距的坐标系统,已经开发了各种颜色空间和色差公式,作为对实验数据的参数拟合。然而,这些经验模型并没有解释为什么颜色辨别会以这种方式变化。本文考虑了这样一种假设,即颜色辨别容限的变化反映了给定颜色的同色异谱匹配程度所产生的不确定性。具体来说,对于一种颜色,同色异谱匹配的程度越大,导致其产生的光谱反射率范围就越宽,因此,为了可靠地识别材料和物体,颜色需要更精细地辨别。为了验证这一假设,收集和分析了现有的表面颜色的颜色辨别数据集。发现颜色辨别与同色异谱匹配程度之间存在很强的相关性。这种相关性提供了证据,表明同色异谱匹配程度为颜色辨别在整个颜色空间中变化的原因提供了解释。