Consensus image method for unknown noise removal

dc.contributor.authorGonzález Jaime, Luis
dc.contributor.authorKerre, Etienne E.
dc.contributor.authorNachtegael, Mike
dc.contributor.authorBustince Sola, Humberto
dc.contributor.departmentAutomática y Computaciónes_ES
dc.contributor.departmentAutomatika eta Konputazioaeu
dc.date.accessioned2020-09-07T08:46:33Z
dc.date.available2020-09-07T08:46:33Z
dc.date.issued2014
dc.description.abstractNoise removal has been, and it is nowadays, an important task in computer vision. Usually, it is a previous task preceding other tasks, as segmentation or reconstruction. However, for most existing denoising algorithms the noise model has to be known in advance. In this paper, we introduce a new approach based on consensus to deal with unknown noise models. To do this, different filtered images are obtained, then combined using multifuzzy sets and averaging aggregation functions. The final decision is made by using a penalty function to deliver the compromised image. Results show that this approach is consistent and provides a good compromise between filters.en
dc.description.sponsorshipThis work is supported by the European Commission under Contract No. 238819 (MIBISOC Marie Curie ITN). H. Bustince was supported by Project TIN 2010-15055 of the Spanish Ministry of Science.en
dc.format.extent30 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.1016/j.knosys.2013.10.023
dc.identifier.issn0950-7051
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/38039
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofKnowledge-Based Systems, 2014, 70, 64-77en
dc.relation.projectIDinfo:eu-repo/grantAgreement/European Commission/FP7/238819/
dc.relation.publisherversionhttps://doi.org/10.1016/j.knosys.2013.10.023
dc.rights© 2013 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectConsensusen
dc.subjectImage noise removalen
dc.subjectUnknown noiseen
dc.subjectPenalty functionen
dc.subjectAggregation functionen
dc.subjectOWA operatoren
dc.titleConsensus image method for unknown noise removalen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication1bdd7a0e-704f-48e5-8d27-4486444f82c9
relation.isAuthorOfPublication.latestForDiscovery1bdd7a0e-704f-48e5-8d27-4486444f82c9

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