Personalized Image Recoloring for Color Vision Deficiency Compensation
Personalized Image Recoloring for Color Vision Deficiency Compensation
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DOI：
10.1109/tmm.2021.3070108
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发表时间：
2021-03
影响因子：
7.3
通讯作者：
Zhenyang Zhu;M. Toyoura;K. Go;K. Kashiwagi;I. Fujishiro;T. Wong;Xiaoyang Mao
中科院分区：
文献类型：
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作者：
Zhenyang Zhu;M. Toyoura;K. Go;K. Kashiwagi;I. Fujishiro;T. Wong;Xiaoyang Mao
为了弥补由色觉缺陷(CVD)引起的对比度损失，已经提出了几种图像重着色方法。然而，这些方法仅适用于二染色性(三种锥体细胞中的一种完全丧失功能的情况)，而大多数心血管疾病是异常三色(另一种情况下，三种锥体细胞中的一种部分丧失功能)。本文提出了一种新的度自适应重色算法，该算法通过最小化对比度增强和保持自然度的约束下的目标函数来对图像进行重色。为了评估所提出方法的有效性，对14名患有不同程度心血管疾病的志愿者进行了使用通用度量标准的定量评估和主观研究。评价实验结果表明，本文提出的个性化重着色方法的性能优于现有的方法，在尽可能地保持自然度的同时，获得了适合不同程度CVD的理想对比度增强。
Several image recoloring methods have been proposed to compensate for the loss of contrast caused by color vision deficiency (CVD). However, these methods only work for dichromacy (a case in which one of the three types of cone cells loses its function completely), while the majority of CVD is anomalous trichromacy (another case in which one of the three types of cone cells partially loses its function). In this paper, a novel degree-adaptable recoloring algorithm is presented, which recolors images by minimizing an objective function constrained by contrast enhancement and naturalness preservation. To assess the effectiveness of the proposed method, a quantitative evaluation using common metrics and subjective studies involving 14 volunteers with varying degrees of CVD are conducted. The results of the evaluation experiment show that the proposed personalized recoloring method outperforms the state-of-the-art methods, achieving desirable contrast enhancement adapted to different degrees of CVD while preserving naturalness as much as possible.