Color vision deficiency (CVD) is a frequent condition that alters color perception to such an extent that many people encounter serious difficulties on their everyday lives. In this work, we present a strategy to analyze the effectiveness of light filters aimed to improve color discriminability of persons with CVD. The calculations are based on a simple model of color discrimination which has been successfully applied to several animal species. We first tested the calculations on three well-known commercial lenses designed for persons with CVD. In agreement with results of clinical studies, the calculations show that the highly colored lenses (VINO® and X-Chrom®) enhance chromaticity contrasts between problematic colors, whereas the more neutral Enchroma® do not provide any benefit. Also, we predict that two light filters proposed in recent works for novel lenses would not improve the performance of the commercial ones. Since the mathematical approach presented in this work enables predictive filter assessment, it opens the door to future research on the design of more effective lenses to improve color discriminability of persons with CVD. The calculations allow for large-scale screening of numerous light filters and different colored stimuli, CVD conditions, light sources, etc.

色觉缺陷 (CVD) 是一种常见的情况，它会改变颜色感知到许多人在日常生活中遇到严重困难的程度。在这项工作中，我们提出了一种分析滤光器有效性的策略，旨在提高 CVD 患者的颜色辨别力。计算基于一个简单的颜色辨别模型，该模型已成功应用于多种动物物种。我们首先测试了三个著名的为 CVD 患者设计的商业镜片的计算。与临床研究的结果一致，计算表明，高度着色的镜片（VINO® 和 X-Chrom®）增强了有问题的颜色之间的色度对比度，而更中性的 Enchroma® 没有任何好处。还，我们预测，最近为新型镜头提出的两种滤光器不会提高商业镜头的性能。由于这项工作中提出的数学方法能够预测滤光片评估，因此它为未来研究设计更有效的镜片以提高 CVD 患者的颜色辨别力打开了大门。计算允许对大量滤光器和不同颜色的刺激、CVD 条件、光源等进行大规模筛选。