Spectral Filter Selection for Increasing Chromatic Diversity in CVD Subjects

We are grateful to Angela Tate for revising the English text. We are also grateful to the reviewers for their insightful suggestions.This paper analyzes, through computational simulations, which spectral filters increase the number of discernible colors (NODC) of subjects with normal color vision, as well as red–green anomalous trichromats and dichromats. The filters are selected from a set of filters in which we have modeled spectral transmittances. With the selected filters we have carried out simulations performed using the spectral reflectances captured either by a hyperspectral camera or by a spectrometer. We have also studied the effects of these filters on color coordinates. Finally, we have simulated the results of two widely used color blindness tests: Ishihara and Farnsworth–Munsell 100 Hue (FM100). In these analyses the selected filters are compared with the commercial filters from EnChroma and VINO companies. The results show that the increase in NODC with the selected filters is not relevant. The simulation results show that none of these chosen filters help color vision deficiency (CVD) subjects to pass the set of color blindness tests studied. These results obtained using standard colorimetry support the hypothesis that the use of color filters does not cause CVDs to have a perception similar to that of a normal observer.This research was supported by the Spanish State Agency for Research (AEI) and the Ministry for Economy, Industry and Competitiveness (MIMECO) by means of grant number FIS2017-89258-P with European Union FEDER (European Regional Development Funds) support, and by the Spanish Ministry of Science, Innovation, and Universities, with support from the European Regional Development Funds under grant number RTI2018-094738-B-I00