摘要
近年来,水下图像处理因其在海洋工程及探索领域的重要性而引起了人们的广泛关注。在介绍水下图像的特点和传统的水下图像增强方法存在的问题的基础上,对现有的基于深度学习的水下图像增强方法原理和质量评价指标进行介绍和总结,提供常用的水下图像数据集供读者参考使用。
In recent years,underwater image processing has attracted extensive attention because of its importance in the field of ocean engineering and ocean exploration.On the basis of introducing the characteristics of underwater image and the problems of traditional underwater image enhancement methods,the principle and quality evaluation index of existing underwater image enhancement methods based on deep learning are introduced and summarized.Finally,common underwater image datasets are provided for readers’reference.
作者
李樟榕
LI Zhangrong(School of Advanced Manufacturing,Fuzhou University,Quanzhou 362200,China)
出处
《电视技术》
2023年第10期215-218,225,共5页
Video Engineering
关键词
水下图像增强
深度学习
质量评价指标
underwater image enhancement
deep learning
quality evaluation index