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The customized daltonization method using discernible colour bins

机译:使用可分辨色箱的自定义道尔顿化方法

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Contemporary media entail colour-coded information. While an average viewer takes colour images for granted, individuals with colour vision deficiency have difficulties in discriminating certain colour combinations and, consequently, have difficulties in perceiving image features. Well-established simulation tools allow us to see the image from their perspective that goes beyond the stereotypical inability to tell red from green by affecting the perception of the entire spectrum. Daltonization methods utilise these simulations to enhance the perceptual image quality for the target population. The paper presents a new concept of daltonization based on finding the optimal choice of discernible colour bins for each image. Similar to other contentdependent methods, the used remapping balances between colour contrast enhancement and naturalness preservation. By providing type and severity of the deficiency and the preferable contrast-naturalness balance and as input parameters, the method can be customized for a particular colour deficient individual.
机译:当代媒体需要用颜色编码的信息。虽然普通观看者认为彩色图像是理所当然的,但是具有色觉缺陷的个体在区分某些颜色组合方面有困难,因此,在感知图像特征方面有困难。完善的仿真工具使我们能够从图像的角度看图像,而这超出了定型观念,即无法通过影响整个光谱的感知来从绿色区分红色。道尔顿化方法利用这些模拟来增强目标人群的感知图像质量。本文提出了一种新的道尔顿化概念,它基于为每个图像找到可分辨色箱的最佳选择。类似于其他依赖于内容的方法,所使用的重新映射在增强颜色对比度和保持自然度之间达到平衡。通过提供缺陷的类型和严重程度以及优选的对比度自然平衡并作为输入参数,可以为特定的颜色缺陷个体定制该方法。

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