中山大学学报（自然科学版）（中英文）2026，Vol.65Issue(1)：1-12,12.DOI:10.13471/j.cnki.acta.snus.ZR20250138
水下退化图像恢复技术:研究现状与未来趋势
Underwater image restoration technology:Current research status and future trends
摘要
Abstract
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.关键词
水下机器人/水下图像增强/水下相机标定/深度学习Key words
underwater robot/underwater image enhancement/underwater camera calibration/deep learning分类
海洋科学引用本文复制引用
查富生,吕品,郭伟,王鹏飞,孙立宁..水下退化图像恢复技术:研究现状与未来趋势[J].中山大学学报（自然科学版）（中英文）,2026,65(1):1-12,12.基金项目
国家重点研发计划(2022YFB4601800) （2022YFB4601800）
