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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 | 2018-06-11T04:21:31Z | |
dc.date.available | 2018-06-11T04:21:31Z | |
dc.date.issued | 2017 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/103763 | |
dc.description.abstract | [EN] It is still a challenge to improve the efficiency and effectiveness of image denoising and enhancement methods. There exists denoising and enhancement methods that are able to improve visual quality of images. This is usually obtained by removing noise while sharpening details and improving edges contrast. Smoothing refers to the case of denoising when noise follows a Gaussian distribution. Both operations, smoothing noise and sharpening, have an opposite nature. Therefore, there are few approaches that simultaneously respond to both goals. We will review these methods and we will also provide a detailed study of the state-of-the-art methods that attack both problems in colour images, separately | es_ES |
dc.description.sponsorship | The second author acknowledges the support of grant MTM2015-64373-P (MINECO/FEDER, UE) and the third author acknowledges the support of grant TEC2016-79884-C2-2-R (MICINN/FEDER). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | UP4 Institute of Sciences, S.L. | es_ES |
dc.relation.ispartof | Applied Mathematics and Nonlinear Sciences | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Color images | es_ES |
dc.subject | Image smoothing | es_ES |
dc.subject | Image sharpening | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | Smoothing vs. sharpening of color images: Together or separated | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.21042/AMNS.2017.1.00025 | 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.relation.projectID | info:eu-repo/grantAgreement/AEI//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 | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario Mixto de Biomecánica de Valencia - Institut Universitari Mixt de Biomecànica de València | 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. (2017). Smoothing vs. sharpening of color images: Together or separated. Applied Mathematics and Nonlinear Sciences. 2(1):299-316. https://doi.org/10.21042/AMNS.2017.1.00025 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.21042/AMNS.2017.1.00025 | es_ES |
dc.description.upvformatpinicio | 299 | es_ES |
dc.description.upvformatpfin | 316 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 2 | es_ES |
dc.description.issue | 1 | es_ES |
dc.identifier.eissn | 2444-8656 | es_ES |
dc.relation.pasarela | S\342363 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |