Recoloring of visual multimedia using matlab to aid color vision deficient individuals

Abstract

Color Vision Deficiency (CVD) has a widespread impact and has affected more than 300 million people across the world. CVD has three major types as Monochromacy, Dichromacy and Anomalous Trichromacy. We design and develop a website with re-coloring algorithms incorporated for anomalous trichromats and dichromats. Unlike an image recoloring schemes, recoloring a video demands maintaining color consistency in the frames which implies similar color in adjacent frames should be recolored to similar necessary color. Our aim is to show the Color Vision Deficient (CVD) the primary colors distinguishably, which they cannot see in normal lighting conditions. To achieve this goal, we have incorporated recoloring algorithm into the website using Matlab as a back-end language, which will first conduct Ishihara plates test to check if a user is CVD. If yes, the test will then comment on the type of its Color Blindness, based on this user would be recommended to go to the respective module of recoloring. User would be asked to submit video or an image which is to be re-colored. Video/Image would be re-colored on server side, the recolored output would be displayed on a screen with an option to download result. The RGB to LMS algorithm is used to recolor those pixels in images and videos which are unperceivable to users. After recoloring they will be able to distinguish the colors and it will be more recognizable. Finally, there would be a feedback/suggestions which users are asked to fill-out, to understand the performance of algorithm and quality of re-colored image. Experimental results prove that with the help of our website almost all CVD irrespective of their types would be helped in their vision to experience multimedia. Thus our website would aid millions of CVD’s to experience colors in multimedia which they are unable to see distinguishably.