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Volume: 61 | Article ID: jist0343
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An App-based Assessment of SiChaRDa, an Image Enhancer for Color-Blind People
  DOI :  10.2352/J.ImagingSci.Technol.2017.61.4.040405  Published OnlineJuly 2017
Abstract
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.

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  Cite this article 

Cristian Bonanomi, Stefano Sarioli, Sergio Mascetti, Gabriele Gianini, Valeria Alampi, Matteo P. Lanaro, Alessandro Rizzi, "An App-based Assessment of SiChaRDa, an Image Enhancer for Color-Blind Peoplein Journal of Imaging Science and Technology,  2017,  pp 040405-1 - 040405-9,  https://doi.org/10.2352/J.ImagingSci.Technol.2017.61.4.040405

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  Copyright statement 
Copyright © Society for Imaging Science and Technology 2017
  Article timeline 
  • received February 2017
  • accepted March 2017
  • PublishedJuly 2017

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