Recoloring Algorithms for Colorblind People
Recoloring Algorithms for Colorblind People
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DOI：
10.1145/3329118
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发表时间：
2019-08
期刊：
影响因子：
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通讯作者：
Madalena G. Ribeiro;A. Gomes
中科院分区：
文献类型：
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作者：
Madalena G. Ribeiro;A. Gomes
颜色是一种强大的交流成分，不仅是信息意义的一部分，而且是区分其中内容的一种方式。然而，世界上5%的人口患有色觉缺陷（CVD），俗称色盲。这一缺陷影响了颜色的感知方式，损害了对信息内容的阅读和理解。由于计算环境中多媒体内容的可用性增加（例如，网络浏览器）。意识到这个问题，在过去的二十年里，大量的CVD研究工作出现在文献中，以改善文本文档、静止图像、视频等中的颜色感知。本调查主要针对色盲人群的静态图像匹配算法，包括颜色适应领域的当前趋势。
Color is a powerful communication component, not only as part of the message meaning but also as a way of discriminating contents therein. However, 5% of the world’s population suffers from color vision deficiency (CVD), commonly known as colorblindness. This handicap adulterates the way the color is perceived, compromising the reading and understanding of the message contents. This issue becomes even more pertinent due to the increasing availability of multimedia contents in computational environments (e.g., web browsers). Aware of this problem, a significant number of CVD research works came up in the literature in the past two decades to improve color perception in text documents, still images, video, and so forth. This survey mainly addresses recoloring algorithms toward still images for colorblind people, including the current trends in the field of color adaptation.