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PID Controller-Inspired Model Design for Single Image De-Raining

文献类型：期刊论文

作者Zhou, Man2,3,4; Wang, Fan2,3,4; Wei, Xian1; Wang, Rujing3,4; Wang, Xue3,4
刊名IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
出版日期2022-04-01
卷号69
关键词Control theory single image de-raining neural network
ISSN号1549-7747
DOI10.1109/TCSII.2021.3137935
通讯作者Wei, Xian(xian.wei@tum.de) ; Wang, Xue(xwang@iim.ac.cn)
英文摘要Deep learning based methods have achieved remarkable breakthroughs on the single image de-raining task. However, most of the current models are constructed by empirically designing black-box network architectures. These network architectures always lack sufficient interpretability, which limits their further improvements in de-raining performance. In this brief, inspired by the classical Proportional Integral Derivative (PID) controller and feedback mechanism in the automatic control community, we propose a novel de-raining network architecture to address the above issues. Specifically, since the PID controller can speed up the system convergence and eliminate the system steady-state error, this motivates us to mimic the signal processing flow of PID controller to provide an interpretable and reliable guideline on de-raining network designs. By casting the signal flow process in the PID controller as blueprints, we extend the PID controller to an almost parameter-free network module, named PID-IM with every component in the module one-to-one corresponding to each operation involved in PID controller. Equipped with PID-IM, our proposed network could efficiently explore and exploit the features of rain streaks in a recursive fashion. Extensive experiments on several benchmarks demonstrate that our method has best performance over other de-raining methods. In addition, by directly embedding our PID-IM into existing baseline networks, the de-raining performance can be significantly improved.
资助项目National Natural Science Foundation of China[31671586]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000773270900076
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/128641]  
专题中国科学院合肥物质科学研究院
通讯作者Wei, Xian; Wang, Xue
作者单位1.East China Normal Univ, MOE Engn Res Ctr Software & Hardware Codesign & A, Shanghai 200062, Peoples R China
2.Univ Sci & Technol China, Hefei 230026, Peoples R China
3.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
4.Chinese Acad Sci, Inst Intelligent Machines, Intelligent Agr Engn Lab Anhui Prov, Hefei 230031, Peoples R China
推荐引用方式
GB/T 7714		 Zhou, Man,Wang, Fan,Wei, Xian,et al. PID Controller-Inspired Model Design for Single Image De-Raining[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS,2022,69.
APA Zhou, Man,Wang, Fan,Wei, Xian,Wang, Rujing,&Wang, Xue.(2022).PID Controller-Inspired Model Design for Single Image De-Raining.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS,69.
MLA Zhou, Man,et al."PID Controller-Inspired Model Design for Single Image De-Raining".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 69(2022).

入库方式： OAI收割

来源：合肥物质科学研究院

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