Abstract
In this paper, we are focusing on web accessibility, more precisely on improving web accessibility for Color Vision Deficiency (CVD) users. The contrast optimization problem for dichromat users can be modeled as a mono objective function which at minimum provides a suitable solution to the problem. The function aims to compensate the loss and maintains simultaneously a minimum change in the original color. The CMA-ES method is used to minimize the function. Experiments were conducted on real and artificial data in order to assess the approach efficiency for different set of parameters. The results showed that it is likely that the method performs better when the loss is important. The approach produces satisfying results on both real and artificial data for the set of tested parameters.
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Mereuta, A., Aupetit, S., Monmarché, N., Slimane, M. (2014). An Evolutionary Approach to Contrast Compensation for Dichromat Users. In: Legrand, P., Corsini, MM., Hao, JK., Monmarché, N., Lutton, E., Schoenauer, M. (eds) Artificial Evolution. EA 2013. Lecture Notes in Computer Science(), vol 8752. Springer, Cham. https://doi.org/10.1007/978-3-319-11683-9_10
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