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dc.contributor.authorAlkinani, M. H.
dc.contributor.authorEl-Sakka, M. R.
dc.date.accessioned2017-02-03T11:15:55Z
dc.date.available2017-02-03T11:15:55Z
dc.date.issued2016cs
dc.identifier.citationMathematics for Applications. 2016 vol. 5, č. 2, s. 93-103. ISSN 1805-3629cs
dc.identifier.issn1805-3629
dc.identifier.urihttp://hdl.handle.net/11012/63783
dc.description.abstractThis paper presents a patch-based image ltering algorithm for addi- tive noise reduction. Our algorithm is a modi cation to the block matching 3D algorithm, where an adaptive thresholding was used for the collaborative hard- thresholding step. The collaborative Wiener ltering step was also modi ed by assigning more weights for similar patches. Experimental results show that our algorithm outperforms the original block matching 3D algorithm at various noise levels.en
dc.formattextcs
dc.format.extent93-103cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematikycs
dc.relation.ispartofMathematics for Applicationsen
dc.relation.urihttp://ma.fme.vutbr.cz/archiv/5_2/ma_5_2_alkinani_el_sakka_final.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematikycs
dc.subjectBlock Matching 3D algorithmen
dc.subjectBM3Den
dc.subjectpatch-based image lteringen
dc.subjectadditive noise reductionen
dc.subjectPSNRen
dc.titleA modified Block Matching 3D algorithm for additive noise reductionen
eprints.affiliatedInstitution.departmentÚstav matematikycs
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
dc.coverage.issue2cs
dc.coverage.volume5cs
dc.identifier.doi10.13164/ma.2016.07en
dc.rights.accessopenAccessen
dc.type.driverotheren
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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