OPTIMIZED COLOR CONTRAST ENHANCEMENT FOR DICHROMATS USING LOCAL AND GLOBAL CONTRAST

We propose an optimized color contrast enhancement algorithm for dichromats with color vision deficiency using local and global information. Based on the fact that dichromats perceive colors projected onto a 2D plane, we first measure the color differences on the plane. Then, we formulate an optimization problem to minimize the perceived color differences subject to constraints on the projected plane. Finally, by solving the optimization problem, we obtain the optimal plane and perform color conversion. Simulation results show that the proposed algorithm outperforms the state-of-the-art algorithms in preserving both local details and naturalness of images.