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Image recoloring for color vision deficiency compensation: a survey

Zhenyang Zhu, Xiaoyang Mao

2021The Visual Computer30 citationsDOIOpen Access PDF

Abstract

Abstract People with color vision deficiency (CVD) have a reduced capability to discriminate different colors. This impairment can cause inconveniences in the individuals’ daily lives and may even expose them to dangerous situations, such as failing to read traffic signals. CVD affects approximately 200 million people worldwide. In order to compensate for CVD, a significant number of image recoloring studies have been proposed. In this survey, we briefly review the representative existing recoloring methods and categorize them according to their methodological characteristics. Concurrently, we summarize the evaluation metrics, both subjective and quantitative, introduced in the existing studies and compare the state-of-the-art studies using the experimental evaluation results with the quantitative metrics.

Topics & Concepts

CategorizationArtificial intelligenceComputer scienceComputer visionCompensation (psychology)PsychologySocial psychologyImage Enhancement TechniquesColor Science and ApplicationsVisual perception and processing mechanisms
Image recoloring for color vision deficiency compensation: a survey | Litcius