SLAM is of utmost importance in underwater environments as it enables autonomous navigation, mapping, and localization for underwater vehicles, facilitating tasks such as exploration, environmental monitoring, infrastructure inspection, and scientific research. Limited by the underwater environment, the images acquired by the camera are usually blurry and distorted. This project aims to develop an underwater image processing method for underwater robot navigation and mapping.