Affiliation:
1. Hangzhou Dianzi University
2. Zhejiang University
Abstract
A personalized image enhancement method is proposed to improve color vision in hereditary color vision deficiency (CVD). It is divided into two stages: evaluation of CVD and gamut mapping for image enhancement. These two separate stages are connected via a psychophysical experiment, through which the deficiency test result expressed using the C-index can be further transformed into a physical parameter, namely the wavelength shift of the cone fundamental. Experiments conducted by the color-deficient observers (CDOs) validated this proposed method, and it is emphasized that the proposed method is just serving as a template for image enhancement. A more advanced simulation model, a more accurate assessment method, or a more sophisticated gamut mapping algorithm can yield a better result.
Funder
Fundamental Research Funds for the Provincial Universities of Zhejiang
National Natural Science Foundation of China
Subject
Atomic and Molecular Physics, and Optics
Cited by
1 articles.
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