Image based color correction for dichromatic colorblind patients

Abstract

Color correction for color blindness to understand the vision defect images is an active research area in the field of computer vision and image processing. The problem occurs due to the lack of human cone cells. For that, defective people cannot recognize specific wavelengths and colors. To mitigate this problem, we focus on fixing the color of images for dichromatic patients in this work. In this regard, the Ishihara test distinguishes the dichromatic patient. After that, the second Ishihara test is used to specifically categorize the patient, i.e., protanopia, deuteranopia, or tritanopia. These processes are used to reduce the processing time. Afterwards, the evaluation method is applied to create the image that the colourblind people originally saw. Finally, the daltonization algorithm is utilized to correct the color. The proposed method shows better results with respect to the other method and real-time images.