It is estimated that about 5-10% of the male population has some kind of color vision deficiency (CVD). For them, it is difficult or even impossible to distinguish certain colors. Many image enhancers exist, mostly based on hue changes, since CVDs are usually modeled at spectral level. In this article, the authors consider another point of view, investigating the role of luminance contrast to treat CVD. In the following, the authors present a test, administered as a mobile application, to assess the performance of SiChaRDa, a recently proposed image enhancer, inspired by a model of the human visual system, that modifies the lightness of the image.The results indicate a role of contrast and edges in the readability of images for color vision-deficient people; however, they do not support a clear and unambiguous interpretation.
An app-based assessment of SiChaRDa, an image enhancer for color-blind people / C. Bonanomi, S. Sarioli, S. Mascetti, G. Gianini, V. Alampi, M.P. Lanaro, A. Rizzi. - In: THE JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY. - ISSN 1062-3701. - 61:4(2017 Jul 21), pp. 040405.1-040405.9. ((Intervento presentato al 25. convegno Color and Imaging Conference tenutosi a Lillehammer nel 2017.
An app-based assessment of SiChaRDa, an image enhancer for color-blind people
C. BonanomiPrimo
;S. Mascetti;G. Gianini;M.P. LanaroPenultimo
;A. RizziUltimo
2017
Abstract
It is estimated that about 5-10% of the male population has some kind of color vision deficiency (CVD). For them, it is difficult or even impossible to distinguish certain colors. Many image enhancers exist, mostly based on hue changes, since CVDs are usually modeled at spectral level. In this article, the authors consider another point of view, investigating the role of luminance contrast to treat CVD. In the following, the authors present a test, administered as a mobile application, to assess the performance of SiChaRDa, a recently proposed image enhancer, inspired by a model of the human visual system, that modifies the lightness of the image.The results indicate a role of contrast and edges in the readability of images for color vision-deficient people; however, they do not support a clear and unambiguous interpretation.Pubblicazioni consigliate
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