Color image distortion assessment based on synthetic ground truth recovery

Abstract

This paper proposes a quantitative method to measure the color distortion that can occur in color images. There are two main types of color distortion, false color and decolorization. Traditionally, the demosaic process of converting bayer to RGB might results in color distortion, but up-to-date complex color filter array(CFA) can cause even more severe color distortion. Since the conventional method of measuring color distortion requires a reference image, it is difficult to measure color distortion in a situation where the reference image is not secured. We have developed a comprehensive method based on recovering the undistorted color components corresponding to ground truth. Our method uses a chart designed for this purpose and evaluates the color distortion based on this chart.