DGNet: Dynamic Gradient-Guided Network for Water-Related Optics Image Enhancement

Underwater image enhancement (UIE) is a challenging task due to the complex degradation caused by underwater environments. To solve this issue, previous methods often idealize the degradation process, and neglect the impact of medium noise and object motion on the distribution of image features, limiting the generalization and adaptability of the model. Previous methods use the reference gradient that is constructed from original images and synthetic ground-truth images. This may cause the network performance to be influenced by some low-quality …

adaptability cs.cv distribution dynamic environments features gradient image impact issue medium network noise optics process solve underwater water