Construction of Confusion Lines for Color Vision Deficiency and Verification by Ishihara Chart

Abstract

This paper proposes color databases that can be used for various purposes for people with a color vision deficiency (CVD). The purpose of this paper is to group colors within the sRGB gamut into the CIE L*a*b* color space using the Brettel algorithm to simulate the representative colors of each group into colors visible to people with a CVD, and to establish a confusion line database by comparing colors that might cause confusion for people with different types of color vision deficiency. The validity of the established confusion lines were verified by using an Ishihara chart. The different colors that confuse those with a CVD in an Ishihara chart are located in the same confusion line database for both protanopia and deutanopia. Instead of the 3D RGB color space, we have grouped confusion colors to the CIE L*a*b* space coordinates in a more distinctive and intuitive manner, and can establish a database of colors that can be perceived by people with a CVD more accurately. Editor -Highlight -Do these changes reflect the intended meaning? If not, please rephrase as intended.

Optimal Color Correction Based on Image Analysis for Color Vision Deficiency

“…Leading studies on color vision deficiency include Brettel's method [4], which simulates the color perception views of color-blind people, and the Machado algorithm [5], which represents the color perception view of color weakness. In addition, confusion lines [6] for defining colors confused by color vision deficient people and the confusion line database [7], [8] have been researched as well. Furthermore, color-correction algorithms [2], [9]- [13] that would help reduce color confusion for color vision deficient people have been researched steadily for many years.…”