Automatic image quality enhancement based on exposure correction and dominate color detection

In this paper, we proposed a quality enhancement scheme to deal with low- and high-exposure images. The proposed scheme is composed of three parts: face detection, dominate color detection, and quality enhancement. After face detection, dominant color detection is used to compute the color information of the detected facial area. A simple rule is used to determine the exposure level of an image. According to the exposure level, different enhancement algorithms are adopted for quality enhancement. The experiment results demonstrate that the proposed scheme can deal with images with low and high exposures. The results also show that the proposed scheme outperforms existing methods in terms of visual quality.