Website image colour transformation for the colour blind
Siew-Li Ching, Maziani Sabudin · 2010
In this paper, we look into the colour transformation algorithm, which focuses on the red-green colour vision deficient individuals. Red-green colour deficiency is the most common category of color blindness which causes red and green to be seen as beige color. From the comparison, the RGB color space to HSV conversion technique is chosen to be modified, which only allows red and green to be specifically transformed into yellow and blue. The images are extracted from websites and passed through the colour transformation algorithm for image processing. The modified colour transformation algorithm is implemented to websites to make the websites more accessible to the colour blind to help them improving their color visibility when browsing through the websites. The outcome of the transformation leads to enhancement of website images to meet the color blinds' vision requirements in perceiving image detailed. The colour transformation algorithm is then tested on a group of 35 people who have colour vision deficiency via a designed questionnaire handed out to them. Majority save favourable responses to the modified colour transformation algorithm. The transformed images look clearer to them. They are able to recognize and differentiate the colours of two unrelated areas which their eyes fail to detect accurately. This minimizes their difficulty in accessing the websites.