Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/73247
DC FieldValueLanguage
dc.contributor.authorDudek -, Romanen_US
dc.contributor.authorQuintana, Franciscaen_US
dc.contributor.authorCuenca, Carmeloen_US
dc.date.accessioned2020-06-12T17:35:39Z-
dc.date.available2020-06-12T17:35:39Z-
dc.date.issued2009en_US
dc.identifier.isbn978-1-60132-119-0en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/73247-
dc.description.abstractIn this paper we propose a method for noise reduction in image sequences, based on the optical flow, consisting in tracking each pixel's position in the previous and following images. In some cases the optical flow imperfections can cause artifacts. To prevent them we also propose an improvement to the method based on the estimation of the imperfections of the optical flow. Using that estimation we adaptatively choose either a temporal or a spatial based noise reduction algorithm to be applied in different image zones. Our results show an important noise reduction, even with complex image sequences.en_US
dc.languageengen_US
dc.sourceProceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009, v. 2, p. 965-970, (Diciembre 2009)en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject120304 Inteligencia artificialen_US
dc.subject.otherNoise reductionen_US
dc.subject.otherOptical flowen_US
dc.titleUsing optical flow to reduce noise in image sequencesen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009en_US
dc.identifier.scopus84864921404-
dc.contributor.authorscopusid23472518100-
dc.contributor.authorscopusid7004920817-
dc.contributor.authorscopusid22733619500-
dc.description.lastpage970en_US
dc.description.firstpage965en_US
dc.relation.volume2en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.utils.revisionen_US
dc.date.coverdateDiciembre 2009en_US
dc.identifier.conferenceidevents121443-
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate13-07-2009-
crisitem.event.eventsenddate16-07-2009-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR Modelos Matemáticos-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0001-8951-5040-
crisitem.author.orcid0000-0002-6911-4351-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgDepartamento de Informática y Sistemas-
crisitem.author.fullNameDudek -, Roman-
crisitem.author.fullNameQuintana Domínguez, Francisca Candelaria-
crisitem.author.fullNameCuenca Hernández, Carmelo-
Appears in Collections:Actas de congresos
Show simple item record

Page view(s)

53
checked on May 23, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.