In recent years, helping individuals with color vision deficiency to distinguish confusing colors in digital images, which is called Daltonization, is a hot topic. However, a number of Daltonization methods have a color reduction problem that causes unnatural image colors for normal color vision observers and those with anomalous trichromatic color vision deficiencies. A color-enhancing algorithm is proposed to make up for the shortage in color naturalness. Based on the conclusion in previous studies that colors confused in the same type of color blindness are approximately straight lines (called confusion lines) on the u ′ v ′ chromaticity plane and all of the confusion lines intersect at the same point (called the confusion point), we propose a polar coordinate transformation based on intersection points of confusion lines, which can transform chromaticity information into perceptually sensitive and perceptually insensitive color blindness information. From the two color-blind sensitive information of the Daltonized image and the one color-blind insensitive information of the original image, the three-dimensional information can be combined to obtain an enhanced image. The enhanced image has a similar color appearance of the Daltonized image under the perspective of dichromats and has a more natural and colorful color appearance under the perspective of anomalous and normal trichromats. In addition, we propose a lightness modification to reduce lightness errors between the enhanced images and the Daltonized images. The quantitative evaluation shows that the method proposed is effective but sacrificing a small amount of color contrast of the Daltonized images.

中文翻译：

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基于道尔顿化和图像融合的色彩增强算法，可改善色彩视觉缺陷和正常三色差的色彩可见度

近年来，帮助有色觉缺陷的人区分数字图像中令人困惑的颜色（称为道尔顿化）是一个热门话题。然而，许多道尔顿化方法具有颜色减少的问题，该颜色减少问题对于正常的彩色视觉观察者和具有异常三色彩色视觉缺陷的观察者造成不自然的图像颜色。提出了一种色彩增强算法来弥补色彩自然性的不足。根据先前研究的结论，在相同类型的色盲中混淆的颜色是u'v'色度平面上的近似直线（称为混淆线），并且所有混淆线在同一点（称为混淆点）相交），我们提出了基于混淆线相交点的极坐标变换，可以将色度信息转换为感知敏感和感知不敏感的色盲信息。从道尔顿化图像的两个色盲敏感信息和原始图像的一个色盲不敏感信息中，可以组合三维信息以获得增强的图像。在双色差的视角下，增强的图像具有与道尔顿化图像相似的颜色外观，而在反色差和正常三色差的视角下，增强后的图像具有更加自然和多彩的颜色外观。另外，我们提出了一种亮度修改，以减少增强图像和道尔顿化图像之间的亮度误差。定量评估表明，所提出的方法是有效的，但牺牲了道尔顿化图像的少量色彩对比度。