Image recoloring for color vision deficiency compensation: a survey

被引：0
作者：
Zhenyang Zhu
Xiaoyang Mao
机构：
[1] University of Yamanashi,Graduate School of Engineering
[2] University of Yamanashi,Department of Computer Science and Engineering
[3] Hangzhou Dianzi University,School of Computer Science
来源：
The Visual Computer | 2021年 / 37卷
关键词：
Color vision deficiency; Recoloring; Evaluation metrics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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页码：2999 / 3018
页数：19
相关论文
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