CVD-MET: an image difference metric designed for analysis of color vision deficiency aids
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Muñoz Postigo, J.; Valero Benito, Eva María; Martínez Domingo, Miguel Ángel; Gómez Robledo, Luis; Huertas Roa, Rafael; Hernández Andrés, JavierEditorial
Optical Society of America
Date
2022-09-12Referencia bibliográfica
J. Muñoz-Postigo... [et al.]. "CVD-MET: an image difference metric designed for analysis of color vision deficiency aids," Opt. Express 30, 34665-34683 (2022). [https://doi.org/10.1364/OE.456346]
Sponsorship
Junta de Andalucia A-TIC-050-UGR18; Spanish Government FIS2017-89258-P; Ministerio de Ciencia, Innovación y Universidades RTI2018-094738-B-I00Abstract
Color vision deficiency (CVD) has gained in relevance in the last decade, with a
surge of proposals for aid systems that aim to improve the color discrimination capabilities of
CVD subjects. This paper focuses on the proposal of a new metric called CVD-MET, that can
evaluate the efficiency and naturalness of these systems through a set of images using a simulation
of the subject’s vision. In the simulation, the effect of chromatic adaptation is introduced via
CIECAM02, which is relevant for the evaluation of passive aids (color filters). To demonstrate
the potential of the CVD-MET, an evaluation of a representative set of passive and active aids
is carried out both with conventional image quality metrics and with CVD-MET. The results
suggest that the active aids (recoloration algorithms) are in general more efficient and produce
more natural images, although the changes that are introduced do not shift the CVD’s perception
of the scene towards the normal observer’s perception.