A Proposal of Color Conversion for Color Blindness Employing Multilayer Neural Network

Abstract

In this paper, we propose a novel digital image color conversion method for color blindness using a multilayer neural network. The people with color blindness have difficulty discriminating combinations of specific colors. Those people require color conversion for the presented image such that the image can be a perceptible color representation. In the proposed method, we design a multilayer neural network composed of three building blocks: layers for image color conversion, layers for perceptual simulation model of color blindness, and layers for color discrimination. In proposed framework, a neural network is learning about a relationship of an image data and a discrimination performance of colors in an image, and a color conversion rule is trained as a part of a neural network. To validate the effectiveness of proposed method, it is applied to several images that have various color combinations.