Análisis de no estacionariedades en la interpolación de imágenes. Aplicación a codificación piramidal y zoom

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/84072

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.contributor	Universitat Politècnica de Catalunya. DMAG - Grup d'Aplicacions Multimèdia Distribuïdes
dc.contributor.author	Gasull Llampallas, Antoni
dc.contributor.author	Marqués Acosta, Fernando
dc.contributor.author	Torres Urgell, Lluís
dc.date	1991
dc.identifier.citation	Gasull, A., Marques, F., Torres, L. Análisis de no estacionariedades en la interpolación de imágenes. Aplicación a codificación piramidal y zoom. A: Simposium Nacional de la Unión Científica Internacional de Radio. "VI Simposium Nacional de la Unión Científica Internacional de Radio. URSI 1991". Caceres: 1991, p. 985-989.
dc.identifier.citation	84-600-7766-7
dc.identifier.uri	http://hdl.handle.net/2117/84072
dc.language.iso	spa
dc.relation	http://ursi.usc.es/wp-content/uploads/articulos_antiguos_escaneados/Caceres_1991/sesion7A5.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject	Image processing
dc.subject	Imatges--Processament
dc.title	Análisis de no estacionariedades en la interpolación de imágenes. Aplicación a codificación piramidal y zoom
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	In some applications of digital image processing the fact that an image is a non estacionary signal can cause some undesirable effects. That is the case of block effect in transform coding, or destructive effects on contours in interpolation or decimation images. This paper deals with interpolation image case carried out by a previous segmentation of the image in estacionary regions, which can be interpolated in a classical way. The results have been applicated for zooming purposes, and in multirresolution image decomposition in order to reduce the error in decimation-interpolation process.
dc.description.abstract	Peer Reviewed

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