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An Efficient Naturalness-Preserving Image-Recoloring Method for Dichromats

机译:一种高效的保色性双色差图像重着色方法

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We present an efficient and automatic image-recoloring technique for dichromats that highlights important visual details that would otherwise be unnoticed by these individuals. While previous techniques approach this problem by potentially changing all colors of the original image, causing their results to look unnatural to color vision deficients, our approach preserves, as much as possible, the image's original colors. Our approach is about three orders of magnitude faster than previous ones. The results of a paired-comparison evaluation carried out with fourteen color-vision deficients (CVDs) indicated the preference of our technique over the state-of-the-art automatic recoloring technique for dichromats. When considering information visualization examples, the subjects tend to prefer our results over the original images. An extension of our technique that exaggerates color contrast tends to be preferred when CVDs compared pairs of scientific visualization images. These results provide valuable information for guiding the design of visualizations for color-vision deficients.
机译:我们提出了一种有效且自动的双色差图像重着色技术,可突出显示重要的视觉细节,否则这些人将不会注意到这些细节。尽管以前的技术通过潜在地更改原始图像的所有颜色,导致其结果对于色觉不足的人看起来不自然,从而解决了该问题,但我们的方法尽可能地保留了图像的原始颜色。我们的方法比以前的方法快三个数量级。用14个色度不足(CVD)进行的配对比较评估结果表明,我们的技术相对于最新的重色差自动重着色技术更为偏爱。在考虑信息可视化示例时,与原始图像相比,对象倾向于我们的结果。当CVD比较成对的科学可视化图像时,倾向于扩大我们的技术以扩大色彩对比度。这些结果为指导色彩视觉缺陷的可视化设计提供了有价值的信息。

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