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A model based on local graphs for colour images and its application for Gaussian noise smoothing

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A model based on local graphs for colour images and its application for Gaussian noise smoothing

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dc.contributor.author Pérez-Benito, Cristina es_ES
dc.contributor.author Morillas, Samuel es_ES
dc.contributor.author Jordan-Lluch, Cristina es_ES
dc.contributor.author Conejero, J. Alberto es_ES
dc.date.accessioned 2019-07-26T20:01:10Z
dc.date.available 2019-07-26T20:01:10Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0377-0427 es_ES
dc.identifier.uri http://hdl.handle.net/10251/124280
dc.description.abstract [EN] In this paper, a new model for processing colour images is presented. A graph is built for each image pixel taking into account some constraints on links. Each pixel is characterized depending on the features of its related graph, which allows to process it appropriately. As an example, we provide a characterization of each pixel based on the link cardinality of its connected component. This feature enables us to properly distinguish flat image regions respect to edge and detail regions. According to this, we have designed a hybrid filter for colour image smoothing. It combines a filter able to properly process flat image regions with another one that is more appropriate for details and texture. Experimental results show that our model performs appropriately. We also see that our proposed filter is competitive with respect to state-of-the-art methods. It is close closer to the corresponding optimal switching filter respect to other analogous hybrid method. es_ES
dc.description.sponsorship Samuel Morillas acknowledges the support of grant MTM2015-64373-P (MINECO/FEDER, UE). Cristina Jordan acknowledges the support of grant TEC2016-79884-C2-2-R. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Computational and Applied Mathematics es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Colour Image Processing es_ES
dc.subject Graph Model es_ES
dc.subject Image Smoothing es_ES
dc.subject Hybrid Filter es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title A model based on local graphs for colour images and its application for Gaussian noise smoothing es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.cam.2017.05.013 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//MTM2015-64373-P/ES/HIPERESPACIOS, ESTRUCTURAS DIFUSAS Y ASIMETRICAS. APLICACIONES A CIENCIA DE LA COMPUTACION Y AL FILTRADO DE IMAGENES./ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2016-79884-C2-2-R/ES/DESARROLLO DEL SOFTWARE PARA SISTEMA DE DIAGNOSTICO POR IMAGEN MOLECULAR PARA CORAZON EN CONDICIONES DE STRESS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Pérez-Benito, C.; Morillas, S.; Jordan-Lluch, C.; Conejero, JA. (2018). A model based on local graphs for colour images and its application for Gaussian noise smoothing. Journal of Computational and Applied Mathematics. 330:955-964. https://doi.org/10.1016/j.cam.2017.05.013 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1016/j.cam.2017.05.013 es_ES
dc.description.upvformatpinicio 955 es_ES
dc.description.upvformatpfin 964 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 330 es_ES
dc.relation.pasarela S\342364 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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