Abstract Underwater images often suffer from degradation due to light attenuation and scattering, posing challenges for vision-based tasks. This paper introduces a novel Edge-Guided Multi-Branch Commonality-Specificity Network (EGMCS-Net) to enhance underwater image quality. The network integrates an RGB branch for initial enhancement and an edge branch for refined edge features, followed by a Commonality-Specificity Fusion Module (CSFM) to achieve complementary feature interaction.
