Light Attenuation and Color Fluctuation for Underwater Image Restoration

Jingchun Zhou, Dingshuo Liu, Dehuan Zhang, Weishi Zhang

Abstract: Underwater images with low contrast and color distortion of different scenarios often pose a significant challenge in improving underwater image quality. Therefore, it is beneficial to restore the real restoration effect of the scene by estimating the degradation parameters related to their changes, and these parameters should be updated with the degradation scene to obtain the best visual effect. We propose a robust underwater image restoration method. Specifically, we adjust the color of the input image according to a background light (BL) estimation strategy guided by depth, chromatic aberration considering hue, and information entropy. At the same time, we adjust the depth map of the input image by computing color fluctuation and attenuation. According to qualitative and quantitative evaluation, the proposed method generates vivid results with a more natural appearance and more valuable information.