Iterated Image Restoration in the Closed Underwater Environment

In order to restore image from poor visibility caused by more backscatter and signal attenuation in the closed underwater environment, an iterative algorithm is used in this study. By constructing three models of the angle between underwater light and camera, the iterative method can effectually recover underwater scene, filtering the backscattering and a lot of unidentifiable noise. For illustration, contrasting regularization with iteration is utilized to show the validity of the latter in restoring image. Empirical results showed that the iterative algorithm can rebuild image, improve the sharpness of the image, and conserve target information. The recovery-measure-based iteration algorithm can validly inhibit different kinds of underwater disturbance, and thus the problems of underwater image restoration such as backscattering and signal attenuation can be solved.