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Article: Image Structure Retrieval via L0 Minimization

TitleImage Structure Retrieval via L0 Minimization
Authors
Keywordsimage smoothing
L0 sparsity
scale-space filtering
Texture removal
Issue Date2018
PublisherIEEE. The Journal's web site is located at http://www.computer.org/tvcg
Citation
IEEE Transactions on Visualization and Computer Graphics, 2018, v. 24 n. 7, p. 2129-2139 How to Cite?
AbstractRetrieving salient structure from textured images is an important but difficult problem in computer vision because texture, which can be irregular, anisotropic, non-uniform and complex, shares many of the same properties as structure. Observing that salient structure in a textured image should be piece-wise smooth, we present a method to retrieve such structures using an L 0 minimization of a modified form of the relative total variation metric. Thanks to the characteristics shared by texture and small structures, our method is effective at retrieving structure based on scale as well. Our method outperforms state-of-art methods in texture removal as well as scale-space filtering. We also demonstrate our method's ability in other applications such as edge detection, clip art compression artifact removal, and inverse half-toning.
Persistent Identifierhttp://hdl.handle.net/10722/262472
ISSN
2021 Impact Factor: 5.226
2020 SCImago Journal Rankings: 1.005
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSun, Y-
dc.contributor.authorSchaefer, S-
dc.contributor.authorWang, WP-
dc.date.accessioned2018-09-28T04:59:53Z-
dc.date.available2018-09-28T04:59:53Z-
dc.date.issued2018-
dc.identifier.citationIEEE Transactions on Visualization and Computer Graphics, 2018, v. 24 n. 7, p. 2129-2139-
dc.identifier.issn1077-2626-
dc.identifier.urihttp://hdl.handle.net/10722/262472-
dc.description.abstractRetrieving salient structure from textured images is an important but difficult problem in computer vision because texture, which can be irregular, anisotropic, non-uniform and complex, shares many of the same properties as structure. Observing that salient structure in a textured image should be piece-wise smooth, we present a method to retrieve such structures using an L 0 minimization of a modified form of the relative total variation metric. Thanks to the characteristics shared by texture and small structures, our method is effective at retrieving structure based on scale as well. Our method outperforms state-of-art methods in texture removal as well as scale-space filtering. We also demonstrate our method's ability in other applications such as edge detection, clip art compression artifact removal, and inverse half-toning.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://www.computer.org/tvcg-
dc.relation.ispartofIEEE Transactions on Visualization and Computer Graphics-
dc.subjectimage smoothing-
dc.subjectL0 sparsity-
dc.subjectscale-space filtering-
dc.subjectTexture removal-
dc.titleImage Structure Retrieval via L0 Minimization-
dc.typeArticle-
dc.identifier.emailSun, Y: yjsun@cs.hku.hk-
dc.identifier.emailWang, WP: wenping@cs.hku.hk-
dc.identifier.authorityWang, WP=rp00186-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TVCG.2017.2711614-
dc.identifier.scopuseid_2-s2.0-85047732451-
dc.identifier.hkuros292589-
dc.identifier.volume24-
dc.identifier.issue7-
dc.identifier.spage2129-
dc.identifier.epage2139-
dc.identifier.isiWOS:000433321900006-
dc.publisher.placeUnited States-
dc.identifier.issnl1077-2626-

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