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Colour image denoising by eigenvector analysis of neighbourhood colour samples

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Colour image denoising by eigenvector analysis of neighbourhood colour samples

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dc.contributor.author Latorre-Carmona, Pedro es_ES
dc.contributor.author Miñana, Juan-José es_ES
dc.contributor.author Morillas, Samuel es_ES
dc.date.accessioned 2021-05-27T03:34:47Z
dc.date.available 2021-05-27T03:34:47Z
dc.date.issued 2020-04 es_ES
dc.identifier.issn 1863-1703 es_ES
dc.identifier.uri http://hdl.handle.net/10251/166837
dc.description.abstract [EN] Colour image smoothing is a challenging task because it is necessary to appropriately distinguish between noise and original structures, and to smooth noise conveniently. In addition, this processing must take into account the correlation among the image colour channels. In this paper, we introduce a novel colour image denoising method where each image pixel is processed according to an eigenvector analysis of a data matrix built from the pixel neighbourhood colour values. The aim of this eigenvector analysis is threefold: (i) to manage the local correlation among the colour image channels, (ii) to distinguish between flat and edge/textured regions and (iii) to determine the amount of needed smoothing. Comparisons with classical and recent methods show that the proposed approach is competitive and able to provide significative improvements. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Signal Image and Video Processing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Colour image filter es_ES
dc.subject Colour image smoothing es_ES
dc.subject Eigenvectors es_ES
dc.subject Gaussian noise es_ES
dc.subject Principal components es_ES
dc.subject Vector filter es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Colour image denoising by eigenvector analysis of neighbourhood colour samples es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11760-019-01575-5 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.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.description.bibliographicCitation Latorre-Carmona, P.; Miñana, J.; Morillas, S. (2020). Colour image denoising by eigenvector analysis of neighbourhood colour samples. Signal Image and Video Processing. 14(3):483-490. https://doi.org/10.1007/s11760-019-01575-5 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11760-019-01575-5 es_ES
dc.description.upvformatpinicio 483 es_ES
dc.description.upvformatpfin 490 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 14 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\418236 es_ES
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