Image inpainting via singular value thresholding

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dc.contributor.authorFaegheh Yeganli, S.
dc.contributor.authorYu, Runyi
dc.date.accessioned2026-02-06T17:58:32Z
dc.date.issued2013
dc.departmentDoğu Akdeniz Üniversitesi
dc.description2013 21st Signal Processing and Communications Applications Conference, SIU 2013 --
dc.description.abstractThis paper proposes an inpainting technique based on the singular value thresholding (SVT) algorithm for matrix completion. The SVT algorithm computes the missing elements of a matrix so that the resultant matrix is an approximate of the completion with least rank. It can be implemented by a straightforward iteration procedure which performs singular value decompositions followed by a soft thresholding on the singular values. Experimental results show that the technique can effectively recover texture parts of damaged images. © 2013 IEEE.
dc.identifier.doi10.1109/SIU.2013.6531291
dc.identifier.isbn9781467355629
dc.identifier.scopus2-s2.0-84880877643
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU.2013.6531291
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/
dc.identifier.urihttps://hdl.handle.net/11129/7627
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260204
dc.subjectImage inpainting
dc.subjectMatrix completion
dc.subjectNorm minimization
dc.subjectSingular value thresholding
dc.titleImage inpainting via singular value thresholding
dc.typeConference Object

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