Image Restoration Method Based on Adaptive Multiple Priors Fusion in Scattering Scenes

Image is usually characterized by low contrast, blurry detail and distorted color due to complex imaging mechanism of scattering scene, which veils many valuable image information. To improve images quality in scattering scenes, we propose a novel image restoration method based on adaptive multiple priors fusion, which mainly includes two components: a multiple priors constraint-based transmission estimation component and an adaptive multiple priors fusion-based backscattered light estimation component. Firstly, we proposed a scoring formula by fusing lightness prior, contrast prior and saturation prior to locate the backscattered light, which can effectively avoid the limitation of using any single priors. Afterward, we explore a new prior called extended dark channel prior (EDCP), and then adaptive combining EDCP, dark channel prior (DCP) and underwater dark channel prior (UDCP) to estimate the transmission robustly. Finally, Extensive experiments on images of different scattering scenes demonstrate that the proposed method is effective and superior for image restoration.