Spectral Filter Selection for Increasing Chromatic Diversity in CVD Subjects

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.

[1]  P E King-Smith,et al.  A quantitative scoring technique for panel tests of color vision. , 1988, Investigative ophthalmology & visual science.

[2]  Quantitative assessment of commercial filter ‘aids’ for red‐green colour defectives , 2010, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[3]  Erwin Schrödinger,et al.  Theorie der Pigmente von größter Leuchtkraft , 1920 .

[4]  Sérgio M C Nascimento,et al.  The number of discernible colors perceived by dichromats in natural scenes and the effects of colored lenses , 2008, Visual Neuroscience.

[5]  J. Pokorny,et al.  Full-spectrum cone sensitivity functions for X-chromosome-linked anomalous trichromats. , 1992, Journal of the Optical Society of America. A, Optics and image science.

[6]  J. Neitz,et al.  Curing color blindness--mice and nonhuman primates. , 2014, Cold Spring Harbor perspectives in medicine.

[7]  Boaz Arad,et al.  Sparse Recovery of Hyperspectral Signal from Natural RGB Images , 2016, ECCV.

[8]  Marcel P. Lucassen,et al.  Dynamic Simulation of Color Blindness for Studying Color Vision Requirements in Practice , 2006, CGIV.

[9]  J. Neitz,et al.  Genetic Testing as a New Standard for Clinical Diagnosis of Color Vision Deficiencies , 2016, Translational vision science & technology.

[10]  Ivar Farup,et al.  Multiscale Daltonization in the Gradient Domain , 2018, J. Percept. Imaging.

[11]  Manuel Menezes de Oliveira Neto,et al.  A Physiologically-based Model for Simulation of Color Vision Deficiency , 2009, IEEE Transactions on Visualization and Computer Graphics.

[12]  J D Mollon,et al.  Computerized simulation of color appearance for dichromats. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.

[13]  B. Cole,et al.  The handicap of abnormal colour vision , 2004, Clinical & experimental optometry.

[14]  F. edridge-green Tests for Colour-Blindness , 1895, Nature.

[15]  Osamu Masuda,et al.  Lighting spectrum to maximize colorfulness. , 2012, Optics letters.

[16]  Dorothy Nickerson,et al.  History of the Munsell Color System and Its Scientific Application , 1940 .

[17]  R. Huertas,et al.  Do EnChroma glasses improve color vision for colorblind subjects? , 2018, Optics express.

[18]  Joseph Carroll,et al.  Effect of “color-correcting glasses” on chromatic discrimination in subjects with congenital color vision deficiency , 2016 .

[19]  J. H. Clark The Ishihara Test for Color Blindness. , 1924 .

[20]  John R. Hayes,et al.  Assessment of Enchroma Filter for Correcting Color Vision Deficiency , 2017 .

[21]  M. H. Brill,et al.  How the CIE 1931 color-matching functions were derived from Wright-Guild data , 1997 .

[22]  W. Mokrzycki,et al.  Color difference ΔE : a survey , 2011 .

[23]  Jennifer Birch,et al.  Worldwide prevalence of red-green color deficiency. , 2012, Journal of the Optical Society of America. A, Optics, image science, and vision.

[24]  M P Simunovic,et al.  Colour vision deficiency , 2010, Eye.

[25]  Iván Marín-Franch,et al.  Number of perceptually distinct surface colors in natural scenes. , 2010, Journal of vision.

[26]  L. Went,et al.  The genetics of tritan disturbances , 2004, Human Genetics.

[27]  Ruben C. Pastilha,et al.  The colors of natural scenes benefit dichromats , 2019, Vision Research.

[28]  W. A. Thornton Color-discrimination index. , 1972, Journal of the Optical Society of America.

[29]  T. Wachtler,et al.  Modeling color percepts of dichromats , 2004, Vision Research.

[30]  Anders Hård,et al.  NCS—Natural Color System: A Swedish Standard for Color Notation , 1981 .

[31]  Javier Hernández-Andrés,et al.  Assessment of VINO filters for correcting red-green Color Vision Deficiency. , 2019, Optics express.

[32]  Matthew Anderson,et al.  Proposal for a Standard Default Color Space for the Internet - sRGB , 1996, CIC.

[33]  Rod McCall,et al.  Colorizer: Smart Glasses Aid for the Colorblind , 2015, WearSys '15.