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Web Page Textual Color Contrast Compensation for CVD Users Using Optimization Methods

  • Published:
Journal of Mathematical Modelling and Algorithms in Operations Research

Abstract

With this paper, we propose two methods for color contrast compensation of the textual information contained in a web page using numerical optimization. The optimization process can be reduced to the minimization of a single objective function which aims to achieve an on-the-fly compensation inducing a small amount of change in the original colors. Mass-spring system based optimization and CMA-ES metaheuristics are compared with the problem in order to assess their efficiency for compensating the loss. Experiments conducted on real and artificial datasets, prove the methods efficiency even with a small number of evaluations. Also, the methods behaviour is bound to the amount of compensation needed.

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Correspondence to S. Aupetit.

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Mereuta, A., Aupetit, S., Monmarché, N. et al. Web Page Textual Color Contrast Compensation for CVD Users Using Optimization Methods. J Math Model Algor 13, 447–470 (2014). https://doi.org/10.1007/s10852-013-9239-3

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  • DOI: https://doi.org/10.1007/s10852-013-9239-3

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