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- Contour Enhancement Algorithm for Improving Visual Perception of Deutan and Protan DichromatsPublication . Ribeiro, Madalena; Gomes, AbelA variety of recoloring methods has been proposed in the literature to remedy the problem of confusing red-green colors faced by dichromat people (as well by other color-blinded people). The common strategy to mitigate this problem is to remap colors to other colors. But, it is clear this does not guarantee neither the necessary contrast to distinguish the elements of an image, nor the naturalness of colors learnt from past experience of each individual. In other words, the individual’s perceptual learning may not hold under color remapping. With this in mind, we introduce the first algorithm primarily focused on the enhancement of object contours in still images, instead of recoloring the pixels of the regions bounded by such contours. This is particularly adequate to increase contrast in images where we find adjacent regions that are color-indistinguishable from the dichromacy’s point of view.
- Recoloring Algorithms for Colorblind People: A SurveyPublication . Ribeiro, Madalena; Gomes, AbelColor 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.