Please use this identifier to cite or link to this item: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1615
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dc.contributor31249es_ES
dc.contributor121858-
dc.contributor.otherhttps://orcid.org/0000-0002-7337-8974-
dc.contributor.otherhttps://orcid.org/0000-0001-8052-7483-
dc.coverage.spatialGlobales_ES
dc.creatorDe la Rosa Vargas, José Ismael-
dc.creatorAraiza Esquivel, María Auxiliadora-
dc.creatorGonzález Ramírez, Efrén-
dc.creatorDe la Rosa Miranda, Enrique-
dc.date.accessioned2020-04-14T17:24:19Z-
dc.date.available2020-04-14T17:24:19Z-
dc.date.issued2012-03-14-
dc.identifierinfo:eu-repo/semantics/publishedVersiones_ES
dc.identifier.isbn978- 953-51-0342-4es_ES
dc.identifier.urihttp://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1615-
dc.identifier.urihttps://doi.org/10.48779/zhf0-xg90-
dc.description.abstractThe present chapter illustrates the use of some recent alternative methods to deal with digital image filtering and restoration. This collection of methods is inspired on the use of Markov Random Fields (MRF), which introduces prior knowledge of information that will allow, more efficiently, modeling the image acquisition process. The methods based on the MRF are analyzed and proposed into a Bayesian framework and their principal objective is to eliminate noise and some effects caused by excessive smoothness on the reconstruction process of images which are rich in contours or edges. In order to preserve object edges into the image, the use of certain convexity criteria into the MRF is proposed obtaining adequate weighting of cost functions in cases where discontinuities are remarked and, even better, for cases where such discontinuities are very smooth.es_ES
dc.language.isoenges_ES
dc.publisherInTeches_ES
dc.relationhttps://www.intechopen.com/predownload/32192es_ES
dc.relation.isbasedonProcesos aleatorios puntuales y Campos aleatorios de Markoves_ES
dc.relation.urigeneralPublices_ES
dc.rightsAtribución-SinDerivadas 3.0 Estados Unidos de América*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/us/*
dc.sourceChapter 8, Book: Advanced Image Acquisition, Processing Techniques and Applications I, Edited by Prof. Dimitrios Ventzas, InTech Editorial, pp. 143 170, March 2012. DOI:10.5772/37900es_ES
dc.subject.classificationINGENIERIA Y TECNOLOGIA [7]es_ES
dc.subject.otherImage filteringes_ES
dc.subject.otherMarkov Random Fieldses_ES
dc.titleA Comparative Study of Some Markov Random Fields and Different Criteria Optimization in Image Restorationes_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
Appears in Collections:*Documentos Académicos*-- M. en Ciencias del Proc. de la Info.

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