水下退化图像恢复技术 ：研究现状与未来趋势

High-quality underwater visual image input prior information is crucial for underwater robots to accomplish various operational tasks. This paper first analyzes the causes of underwater image degradation，explaining different types of common image degradation from theoretical principles，and introduces two approaches to degradation recovery：underwater image enhancement and underwater camera calibration. Secondly，it systematically reviews the current research status of underwater image enhancement methods，existing underwater datasets，and underwater image quality evaluation systems. Subsequently，it summarizes underwater camera calibration methods，along with their advantages and limitations. Finally，the paper presents future research trends in underwater degradation recovery technology，including the robustness and generalization capability of enhancement algorithms，multi-sensor fusion，and integration with high-level vision tasks.