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A Content-Dependent Naturalness-Preserving Daltonization Method for Dichromatic and Anomalous Trichromatic Color Vision Deficiencies

机译:基于内容的自然保色道尔顿化方法,用于双色和反常三色彩色视觉缺陷

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摘要

Color vision deficiency represents an inability to perceive differences between certain colors that can be distinguished in the case of regular color vision. This article proposes a new daltonization method for re-coloring image segments perceived as confusingly colored by color deficient observers and, thus, to improve their perceived image quality. The idea behind this approach is that only one image color center should be located on one confusion line. If colors of two or more segments lie on the same confusion line, then they should be remapped in a direction perpendicular to the confusion line taking into account the image content the color distribution of other segments. The method conserves the image naturalness by restricting, for each segment center, an area of admissible remapping. This achieves re-coloring balance where colors are made sufficiently distinguishable from each other, but they do not deviate too much from the original image colors. The proposed re-coloring concept is applicable to all types of dichromacy and anomalous trichromacy with adjustment for their set of confusion lines. The simulation results show that the re-coloring converts an original image to a version with improved color distinction, confirmed by evaluations of eight color deficient users. An intentionally chosen example demonstrates when and why the proposed method performs better against content-independent methods. Furthermore, results and subjective evaluations indicate that the method provides more natural re-coloring results for anomalous trichromats than in the case of content-dependent methods optimized for dichromats. (C) 2015 Society for Imaging Science and Technology.
机译:色觉不足表示无法感知某些颜色之间的差异,这在常规色觉的情况下是可以区分的。本文提出了一种新的道尔顿化方法,用于对颜色不足的观察者感到困惑的彩色图像片段重新着色,从而改善它们的感知图像质量。这种方法背后的想法是,只有一个图像颜色中心应该位于一条混淆线上。如果两个或多个段的颜色位于同一条混淆线上,则应在考虑到图像内容和其他段的颜色分布的情况下,在垂直于混淆线的方向上重新映射它们。该方法通过限制每个段中心的允许重映射区域来保存图像自然度。这样可以实现重新着色的平衡,在这种情况下,可以使颜色充分区分,但它们与原始图像颜色的偏差不会太大。所提出的重新着色概念适用于所有类型的二色性和反常三色性,并对其混乱线进行了调整。仿真结果表明,重新着色可以将原始图像转换为具有改进的颜色区分的版本,这一点已通过对八个颜色不足用户的评估得到了证实。故意选择的示例演示了何时以及为什么所提出的方法相对于内容无关的方法表现更好的原因。此外,结果和主观评估表明,与为双色度优化的内容依赖方法相比,该方法为异常的三色度提供了更自然的重新着色结果。 (C)2015年影像科学与技术学会。

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  • 来源
    《Journal of Imaging Science and Technology》 |2015年第1期|010504.1-010504.10|共10页
  • 作者单位

    Univ Novi Sad, Fac Tech Sci, Dept Graph Engn & Design, Novi Sad 21000, Serbia;

    Eszterhazy Karoly Coll, Inst Math & Comp Sci, Eger, Hungary;

    Eszterhazy Karoly Coll, Inst Math & Comp Sci, Eger, Hungary;

    Univ Novi Sad, Fac Tech Sci, Dept Graph Engn & Design, Novi Sad 21000, Serbia;

    Univ Novi Sad, Fac Tech Sci, Dept Graph Engn & Design, Novi Sad 21000, Serbia;

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