“In response to degradation issues such as color cast and decreased contrast in underwater images, the research team proposes a lightweight underwater image enhancement network that combines axial convolution and channel attention in parallel. The research progress in the field of underwater vision is introduced. The team establishes a residual compensation encoding and decoding architecture and explores the spatial channel dual dimensional feature enhancement problem, providing a solution for real-time image enhancement on underwater edge platforms.”