Image recoloring for color vision deficiency compensation: a survey

Image recoloring for color vision deficiency compensation: a survey
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DOI:
10.1007/s00371-021-02240-0
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发表时间:
2021-07
期刊:
The Visual Computer
影响因子:
--
通讯作者:
Zhenyang Zhu;Xiaoyang Mao
Zhenyang Zhu;Xiaoyang Mao
中科院分区:
其他
文献类型:
--
作者:
Zhenyang Zhu;Xiaoyang Mao

文献摘要

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患有色觉缺陷(CVD)的人辨别不同颜色的能力降低。这种损害可能会给个人的日常生活带来不便,甚至可能使他们面临危险的情况,例如无法阅读交通信号。CVD影响全球约2亿人。为了补偿CVD,人们提出了大量的图像重新着色研究。在本综述中,我们简要回顾了现有的代表性的预测方法,并根据它们的方法学特征对其进行分类。同时,我们总结了现有研究中引入的主观和定量的评估指标,并将实验评估结果与定量指标进行了比较。
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.