水下
计算机科学
图像质量
人工智能
计算机视觉
图像复原
质量(理念)
图像(数学)
图像处理
图像增强
地质学
海洋学
认识论
哲学
作者
Xieliu Yang,Jianping Li,Wenfeng Liang,Dan Wang,Jinbao Zhao,Xiaohua Xia
摘要
To obtain high-visual-quality underwater images by image post-processing, many underwater image restoration and enhancement methods have been proposed. Underwater image quality assessment (UIQA) methods have been developed to compare these restoration and enhancement methods. This paper comprehensively summarizes the subjective and objective UIQA methods, metrics, and datasets. Experiments are conducted on two underwater image datasets to analyze the performance of several typical UIQA metrics. Suggestions for further research directions are put forward as well.
科研通智能强力驱动
Strongly Powered by AbleSci AI