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Unknown noise removal via sparse representation model
Zhang JC(张俊超)1,2,3,4,5; Luo HB(罗海波)1,2,4,5; Hui B(惠斌)1,2,4,5; Chang Z(常铮)1,2,4,5; Zhang XY(张祥越)1,2,3,4,5
Source PublicationISA Transactions
Indexed BySCI ; EI
EI Accession number20191306706345
WOS IDWOS:000501655900013
Contribution Rank1
Funding OrganizationChina Scholarship Council (CSC) (grant numbers 201704910730)
KeywordImage denoising Mixed noise Sparse representation Dictionary learning

To remove more complex or unknown noise, we propose a new dictionary learning model by assuming noise as Mixture of Gaussian (MoG) distributions. Since MoG is able to approximate any continuous distributions universally, the proposed method can effectively recover the original image from the corrupted one with various forms of noise. Meanwhile, to solve weighted 2−0 minimization problems, we further propose modified orthogonal matching pursuit method in sparse coding and extend alternating proximal algorithm to update dictionaries. Experimental results demonstrate that our proposed method is superior to several previous denoising methods in terms of quantitative measures and visual quality.

WOS SubjectAutomation & Control Systems ; Engineering, Multidisciplinary ; Instruments & Instrumentation
WOS Research AreaAutomation & Control Systems ; Engineering ; Instruments & Instrumentation
Funding ProjectChina Scholarship Council (CSC)[201704910730]
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorZhang JC(张俊超)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Institutes of Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
4.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang 110016, China
5.The Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang 110016, China
Recommended Citation
GB/T 7714
Zhang JC,Luo HB,Hui B,et al. Unknown noise removal via sparse representation model[J]. ISA Transactions,2019,94:135-143.
APA Zhang JC,Luo HB,Hui B,Chang Z,&Zhang XY.(2019).Unknown noise removal via sparse representation model.ISA Transactions,94,135-143.
MLA Zhang JC,et al."Unknown noise removal via sparse representation model".ISA Transactions 94(2019):135-143.
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