Image recoloring for Red-Green dichromats with compensation range-based naturalness preservation and refined dichromacy gamut

Image recoloring for Red-Green dichromats with compensation range-based naturalness preservation and refined dichromacy gamut
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红绿二色镜的图像重新着色,具有基于补偿范围的自然度保留和精细的二色色域

DOI:
10.1007/s00371-022-02549-4
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发表时间:
2022
期刊:
The Visual Computer
影响因子:
--
通讯作者:
Xiaoyang Mao
Xiaoyang Mao
中科院分区:
--
文献类型:
--
作者:
Wangkang Huang;Zhenyang Zhu;Ligeng Chen;Kentaro Go;Xiaodiao Chen;Xiaoyang Mao

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患有色觉缺陷(CVD)的人在辨别颜色方面有困难,这可能会导致受影响个体在感知上失去色彩对比。为了补偿对比度损失,已有研究提出了图像重着色方法。在最先进的研究中,重新着色模型是基于CIE L*a*b* (Lab)色彩空间中CVD的近似色域建立的,该色域明显偏离原始色域。此外,在重新着色时不考虑亮度。此外,现有的方法也存在计算成本高、自然度保存不足等问题。在本文中,我们提出了一种新的重新着色方法来补偿CVD,该方法通过采用考虑亮度通道的优化模型来增强对比度,同时通过对原始颜色的变化量施加硬约束来保持自然度。为了获得更好的补偿效果,我们拟合了一个新的曲面来更准确地表示Lab色彩空间中的二色域。在此基础上,采用离散求解器对优化问题进行了有效求解。为了进行有效的评价,我们进行了定性、定量和主观实验,并提出了一个新的度量,即偏好,来综合评价对比度增强和自然保存。
People with color vision deficiency (CVD) have difficulty discriminating colors, which can cause loss of chromatic contrast in the perception of affected individuals. To compensate for contrast loss, image recoloring approaches have been proposed in the existing studies. In state-of-the-art studies, recoloring models were built based on an approximated gamut of CVD in the CIE L*a*b* (Lab) color space, which significantly deviates from the original gamut. In addition, luminance was not considered during recoloring. Moreover, existing methods also present problems, such as high computational costs and insufficient naturalness preservation . In this paper, we propose a novel recoloring method to compensate for CVD that enhances contrast through adopting a luminance channel-considered optimization model while preserving naturalness by imposing hard constraints on the amount of changes to the original colors. To obtain a better compensation effect, we fit a new curved surface for representing the gamut of dichromacy in the Lab color space more accurately. Furthermore, a discrete solver is implemented to solve the optimization problem efficiently. For effective assessment, qualitative, quantitative, and subjective experiments were conducted, and a new metric, called preference, is proposed to evaluate the contrast enhancement and naturalness preservation comprehensively.
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