单幅图像去雨算法研究现状及展望  

Research status and prospect of single image rain removal algorithm

作　　者：陈舒曼 陈玮[1] 尹钟[1] Chen Shuman;Chen Wei;Yin Zhong(School of Optical-Electrical&Computer Engineering,University of Shanghai for Science&Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《计算机应用研究》2022年第1期9-17,共9页Application Research of Computers

基　　金：国家自然科学基金资助项目(61703277)。

摘　　要：图像去雨算法通过对有雨图像进行分析和处理从而去除雨水条纹,恢复干净的背景场景,有助于提升计算机视觉任务识别精度,因此成为当下的研究热点。为系统地了解该领域的研究现状和发展趋势,首先介绍了典型的雨水合成模型,其次从基于模型驱动和基于数据驱动两个方面重点分析了典型图像去雨算法模型和方法;之后比较了去雨图像质量评价指标及雨水数据集;最后,对单幅图像去雨算法未来发展趋势进行了展望。The image rain removal algorithm analyzes and processes rain images to remove rain streaks and restore clean background scenes,which helps to improve the recognition accuracy of computer vision task,so that it becomes a hot spot in current research.In order to systematically understand the current research status and development trends in this field.Firstly,this paper introduced some typical synthetic rain models.Secondly,it analyzed typical image rain removal algorithm models and methods from two aspects,such as model-driven and data-driven.Then it compared the algorithm evaluation metrics and public rain datasets respectively.Finally,this paper prospected the future development trend of single image rain removal algorithms.

关 键 词：图像去雨 图像复原 深度学习 卷积神经网络 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]