Please use this identifier to cite or link to this item: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1877
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dc.contributor31249es_ES
dc.contributor.other0000-0002-7337-8974es_ES
dc.contributor.otherhttps://orcid.org/0000-0002-7337-8974-
dc.contributor.otherhttps://orcid.org/0000-0002-8060-6170-
dc.coverage.spatialGlobales_ES
dc.creatorDe la Rosa Vargas, José Ismael-
dc.creatorVilla Hernández, José de Jesús-
dc.creatorGonzález Ramírez, Efrén-
dc.creatorCortez, J.-
dc.date.accessioned2020-05-06T18:14:06Z-
dc.date.available2020-05-06T18:14:06Z-
dc.date.issued2016-02-
dc.identifierinfo:eu-repo/semantics/publishedVersiones_ES
dc.identifier.isbn978-1-5090-0079-1es_ES
dc.identifier.urihttp://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1877-
dc.identifier.urihttps://doi.org/10.48779/b1bn-0r79-
dc.description.abstractThe present work proposes a review and comparison of different Nonlocal Means (NLM) methods in the task of digital image filtering. Some different alternatives to change the classical exponential kernel function used in NLM methods are explored. Moreover, some approaches that change the geometry of the neighborhood and use dimensionality reduction of the neighborhood or patches onto principal component analysis (PCA) are also analyzed, and their performance is compared with respect to the classic NLM method.Mainly, six approaches were compared using quantitative and qualitative evaluations, to do this an homogenous framework has been established using the same simulation platform, the same computer, and same conditions for the initializing parameters. One will notice that particularly, the BM3D SAPCA approach gives the best denoising results, but in contrast, the computation times of this method were the longest.es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.relationhttps://ieeexplore.ieee.org/document/7438548es_ES
dc.relation.urigeneralPublices_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.sourceProc. of the IEEE XXVI International Conference on Electronics, Communications, and Computers - CONIELECOMP 2016, Cholula, Puebla. 24 - 26 Feb. 2016. pp. 32-39es_ES
dc.subject.classificationINGENIERIA Y TECNOLOGIA [7]es_ES
dc.subject.otherNLM filteringes_ES
dc.subject.otherImage filteringes_ES
dc.titleA tour of nonlocal means techniques for image filteringes_ES
dc.typeinfo:eu-repo/semantics/conferenceProceedingses_ES
Appears in Collections:*Documentos Académicos*-- M. en Ciencias del Proc. de la Info.

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