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Improving information perception from digital images for users with dichromatic color vision

机译:为双色彩色视觉用户改善数字图像的信息感知能力

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Color vision deficiency (CVD) is the inability, or limited ability, to recognize colors and discriminate between them. A person with this condition perceives a narrower range of colors compared to a person with normal color vision. In this study we concentrate on recoloring digital images in such a way that users with CVD, especially dichromats, perceive more details from the recolored images compared to the original ones. During this color transformation process, the goal is to keep the overall contrast of the image constant, while adjusting the colors that might cause confusion for the CVD user. In this method, RGB values at each pixel of the image are first converted into HSV values and, based on pre-defined rules, the problematic colors are adjusted into colors that are perceived better by the user. Comparing the simulation of the original image, as it would be perceived by a dichromat, with the same dichromatic simulation on the recolored image, clearly shows that our method can eliminate a lot of confusion for the user and convey more details. Moreover, an online questionnaire was created and a group of 39 CVD users confirmed that the transformed images allow them to perceive more information compared to the original images.
机译:色觉不足(CVD)是无法识别颜色或无法区分颜色的能力或能力有限。与具有正常色觉的人相比,具有这种情况的人所感知的色彩范围更窄。在这项研究中,我们集中精力对数字图像进行重新着色,以使使用CVD的用户(尤其是重色差)与原始图像相比,可以从重新着色的图像中了解更多细节。在此颜色转换过程中,目标是保持图像的整体对比度恒定,同时调整可能会使CVD用户感到困惑的颜色。在这种方法中,首先将图像每个像素处的RGB值转换为HSV值,然后根据预定义的规则将有问题的颜色调整为用户可以更好地感知的颜色。将原始图像的模拟结果与重色图像所感知的结果进行比较,并与重着色图像上的相同的二色模拟结果进行比较,可以清楚地表明,我们的方法可以消除用户的诸多困惑并传达更多细节。此外,创建了一个在线调查表,由39个CVD用户组成的小组确认,与原始图像相比,转换后的图像使他们可以感知更多信息。

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