Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis

doi:10.1109/JAS.2023.123543

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	Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis
	Baoshun Shi; Kexun Liu
刊名	IEEE/CAA Journal of Automatica Sinica
	2023
卷号	10 期号:11 页码:2136-2153
关键词	Bounded denoiser compressed sensing magnetic resonance imaging (CSMRI) dual frames plug-and-play priors regularization
ISSN号	2329-9266
DOI	10.1109/JAS.2023.123543
英文摘要	Plug-and-play priors are popular for solving ill-posed imaging inverse problems. Recent efforts indicate that the convergence guarantee of the imaging algorithms using plug-and-play priors relies on the assumption of bounded denoisers. However, the bounded properties of existing plugged Gaussian denoisers have not been proven explicitly. To bridge this gap, we detail a novel provable bounded denoiser termed as BMDual, which combines a trainable denoiser using dual tight frames and the well-known block-matching and 3D filtering (BM3D) denoiser. We incorporate multiple dual frames utilized by BMDual into a novel regularization model induced by a solver. The proposed regularization model is utilized for compressed sensing magnetic resonance imaging (CSMRI). We theoretically show the bound of the BMDual denoiser, the bounded gradient of the CSMRI data-fidelity function, and further demonstrate that the proposed CSMRI algorithm converges. Experimental results also demonstrate that the proposed algorithm has a good convergence behavior, and show the effectiveness of the proposed algorithm.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/52429]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Baoshun Shi,Kexun Liu. Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(11):2136-2153.
APA	Baoshun Shi,&Kexun Liu.(2023).Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis.IEEE/CAA Journal of Automatica Sinica,10(11),2136-2153.
MLA	Baoshun Shi,et al."Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis".IEEE/CAA Journal of Automatica Sinica 10.11(2023):2136-2153.