The algorithm has four parts: 1) select a representative set of colors from the source document; 2) compute target color distances using color and brightness differences; 3) solve an optimization step that preserves the target distances for a particular class of color blind viewer; and 4) interpolate the mapped colors across the remaining colors in the document.
We gathered empirical data from 16 users to assess the model’s accuracy and robustness.
We found that the model is highly effective at capturing individual differentiation abilities, works for users with and without CVD, can be tuned to balance accuracy and color availability, and can serve as the basis for improved color adaptation schemes.
The efficiency of ICD-2 makes it feasible for situationspecific models of individual color differentiation to be used in the real world.
Citation Context ...ecoloring process – for example, some forms of CVD (such as anomalous trichromatism) are less severe than dichromatism, and an interactive system can allow these users to guide the recoloring process =-=-=-. In this paper, we propose a fast re-coloring algorithm to improve the accessibility for the color vision impaired.
Some forms of CVD such as anomalous trichromatism are less sever... There are about 8 % of men and 0.8 % of women suffering from colorblindness.
We show that the existing image search techniques cannot provide satisfactory results for these users, since many images will not be well perceived by them due to the loss of color information.In accessibility improvement component, we propose an efficient recoloring algorithm to modify the colors of the images such that they can be better perceived by colorblind users.We also propose the Accessibility Average Precision (AAP) for AIS as a complementary performance evaluation measure to the conventional relevance-based evaluation methods.Different from the general image search scheme that aims at returning more relevant results, AIS further takes into account the colorblind accessibilities of the returned results, i.e., the image qualities in the eyes of colorblind users.The scheme includes two components: accessibility assessment and accessibility improvement. Color is commonly used to represent categories and values in many computer applications, but differentiating these colors can be difficult in many situations (e.g., for users with color vision deficiency (CVD), or in bright light).