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

doi:10.1109/TCSII.2021.3137935

	PID Controller-Inspired Model Design for Single Image De-Raining
	Zhou, Man 1,2,3; Wang, Fan 1,2,3; Wei, Xian 4; Wang, Rujing 1,2; Wang, Xue 1,2
刊名	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
	2022-04-01
卷号	69
关键词	Control theory single image de-raining neural network
ISSN号	1549-7747
DOI	10.1109/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
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000773270900076
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
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.Chinese Acad Sci, Inst Intelligent Machines, Intelligent Agr Engn Lab Anhui Prov, Hefei 230031, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China 3.Univ Sci & Technol China, Hefei 230026, Peoples R China 4.East China Normal Univ, MOE Engn Res Ctr Software & Hardware Codesign & A, Shanghai 200062, 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).