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Weighted Joint Sparse Representation for Removing Mixed Noise in Image
Liu, Licheng; Chen, Long; Chen, C. L. Philip; Tang, Yuan Yan; Pun, Chi Man
2017-03
Source PublicationIEEE Transactions on Cybernetics
ISSN2168-2267
Volume47Issue:3Pages:600-611
Abstract

Joint sparse representation (JSR) has shown great potential in various image processing and computer vision tasks. Nevertheless, the conventional JSR is fragile to outliers. In this paper, we propose a weighted JSR (WJSR) model to simultaneously encode a set of data samples that are drawn from the same subspace but corrupted with noise and out-liers. Our model is desirable to exploit the common information shared by these data samples while reducing the influence of outliers. To solve the WJSR model, we further introduce a greedy algorithm called weighted simultaneous orthogonal matching pursuit to efficiently approximate the global optimal solution. Then, we apply the WJSR for mixed noise removal by jointly coding the grouped nonlocal similar image patches. The denoising performance is further improved by incorporating it with the global prior and the sparse errors into a unified framework. Experimental results show that our denoising method is superior to several state-of-the-art mixed noise removal methods.

KeywordGreedy Algorithm Image Denoising Joint Sparse Representation (Jsr) Nonlocal Similarity Weighted Sparse Coding
DOIhttps://doi.org/10.1109/TCYB.2016.2521428
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS IDWOS:000396395400005
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
The Source to ArticleWOS
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Citation statistics
Cited Times [WOS]:88   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorChen, Long
AffiliationUniversity of Macau
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Liu, Licheng,Chen, Long,Chen, C. L. Philip,et al. Weighted Joint Sparse Representation for Removing Mixed Noise in Image[J]. IEEE Transactions on Cybernetics,2017,47(3):600-611.
APA Liu, Licheng,Chen, Long,Chen, C. L. Philip,Tang, Yuan Yan,&Pun, Chi Man.(2017).Weighted Joint Sparse Representation for Removing Mixed Noise in Image.IEEE Transactions on Cybernetics,47(3),600-611.
MLA Liu, Licheng,et al."Weighted Joint Sparse Representation for Removing Mixed Noise in Image".IEEE Transactions on Cybernetics 47.3(2017):600-611.
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