Underwater Image Restoration and Enhancement via Residual Two-Fold Attention Networks

Bo Fu, Liyan Wang, Ruizi Wang, Shilin Fu, Fangfei Liu, Xin Liu

Abstract: Underwater images or videos are common but essential information carrier for observation, fishery industry and intelligent analysis system in underwater vehicles. But underwater images are usually suffering from more complex imaging interfering impacts. This paper describes a novel residual two-fold attention networks for underwater image restoration...