Graph-based methods for simultaneous smoothing and sharpening of color images

[EN] In this work we introduce an image characterization of pixels based on local graphs that allows to distinguish different local regions around a pixel. This separation also permits us to develop a method for determining the role of each pixel in a neighborhood of any other, either for smoothing...

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Authors: Pérez-Benito, Cristina, Jordan-Lluch, Cristina|||0000-0001-9608-2984, Conejero, J. Alberto|||0000-0003-3681-7533, Morillas, Samuel|||0000-0001-9262-6139
Format: article
Publication Date:2019
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/136879
Online Access:https://riunet.upv.es/handle/10251/136879
Access Level:Open access
Keyword:Color image processing
Local graphs
Simultaneous sharpening and smoothing
MATEMATICA APLICADA
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spelling Graph-based methods for simultaneous smoothing and sharpening of color imagesPérez-Benito, CristinaJordan-Lluch, Cristina|||0000-0001-9608-2984Conejero, J. Alberto|||0000-0003-3681-7533Morillas, Samuel|||0000-0001-9262-6139Color image processingLocal graphsSimultaneous sharpening and smoothingMATEMATICA APLICADA[EN] In this work we introduce an image characterization of pixels based on local graphs that allows to distinguish different local regions around a pixel. This separation also permits us to develop a method for determining the role of each pixel in a neighborhood of any other, either for smoothing or for sharpening. Two methods for simultaneously conducting both processes are provided. Our solution overcomes the drawbacks of the classic two steps sequential smoothing and sharpening process: enhancing details while reducing noise and not losing critical information. The parameters of the methods are adjusted in two different ways: through observers visual quality optimization and with an objective optimization criterion. The results show that our methods outperform other recent state-of-the-art ones.We thank F. Russo for providing the implementation of the Fuzzy method and V. Ratmer, and Y.Y. Zeevi for providing the implementation of the FAB method. Cristina Jordan acknowledges the support of grant TEC2016-79884-C2-2-R. Samuel Morillas acknowledges the support of grant MTM2015-64373-P (MINECO/FEDER, Spain, UE).ElsevierDepartamento de Matemática AplicadaInstituto Universitario de Matemática MultidisciplinarInstituto Universitario de Matemática Pura y AplicadaEscuela Técnica Superior de Ingeniería InformáticaMinisterio de Economía y CompetitividadRepositorio Institucional de la Universitat Politècnica de València Riunet20192019-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/136879reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 MTM2015-64373-P HIPERESPACIOS, ESTRUCTURAS DIFUSAS Y ASIMETRICAS. APLICACIONES A CIENCIA DE LA COMPUTACION Y AL FILTRADO DE IMAGENES.Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TEC2016-79884-C2-2-R DESARROLLO DEL SOFTWARE PARA SISTEMA DE DIAGNOSTICO POR IMAGEN MOLECULAR PARA CORAZON EN CONDICIONES DE STRESSopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1368792026-06-13T07:49:27Z
dc.title.none.fl_str_mv Graph-based methods for simultaneous smoothing and sharpening of color images
title Graph-based methods for simultaneous smoothing and sharpening of color images
spellingShingle Graph-based methods for simultaneous smoothing and sharpening of color images
Pérez-Benito, Cristina
Color image processing
Local graphs
Simultaneous sharpening and smoothing
MATEMATICA APLICADA
title_short Graph-based methods for simultaneous smoothing and sharpening of color images
title_full Graph-based methods for simultaneous smoothing and sharpening of color images
title_fullStr Graph-based methods for simultaneous smoothing and sharpening of color images
title_full_unstemmed Graph-based methods for simultaneous smoothing and sharpening of color images
title_sort Graph-based methods for simultaneous smoothing and sharpening of color images
dc.creator.none.fl_str_mv Pérez-Benito, Cristina
Jordan-Lluch, Cristina|||0000-0001-9608-2984
Conejero, J. Alberto|||0000-0003-3681-7533
Morillas, Samuel|||0000-0001-9262-6139
author Pérez-Benito, Cristina
author_facet Pérez-Benito, Cristina
Jordan-Lluch, Cristina|||0000-0001-9608-2984
Conejero, J. Alberto|||0000-0003-3681-7533
Morillas, Samuel|||0000-0001-9262-6139
author_role author
author2 Jordan-Lluch, Cristina|||0000-0001-9608-2984
Conejero, J. Alberto|||0000-0003-3681-7533
Morillas, Samuel|||0000-0001-9262-6139
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Matemática Aplicada
Instituto Universitario de Matemática Multidisciplinar
Instituto Universitario de Matemática Pura y Aplicada
Escuela Técnica Superior de Ingeniería Informática
Ministerio de Economía y Competitividad
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Color image processing
Local graphs
Simultaneous sharpening and smoothing
MATEMATICA APLICADA
topic Color image processing
Local graphs
Simultaneous sharpening and smoothing
MATEMATICA APLICADA
description [EN] In this work we introduce an image characterization of pixels based on local graphs that allows to distinguish different local regions around a pixel. This separation also permits us to develop a method for determining the role of each pixel in a neighborhood of any other, either for smoothing or for sharpening. Two methods for simultaneously conducting both processes are provided. Our solution overcomes the drawbacks of the classic two steps sequential smoothing and sharpening process: enhancing details while reducing noise and not losing critical information. The parameters of the methods are adjusted in two different ways: through observers visual quality optimization and with an objective optimization criterion. The results show that our methods outperform other recent state-of-the-art ones.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/136879
url https://riunet.upv.es/handle/10251/136879
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 MTM2015-64373-P HIPERESPACIOS, ESTRUCTURAS DIFUSAS Y ASIMETRICAS. APLICACIONES A CIENCIA DE LA COMPUTACION Y AL FILTRADO DE IMAGENES.
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TEC2016-79884-C2-2-R DESARROLLO DEL SOFTWARE PARA SISTEMA DE DIAGNOSTICO POR IMAGEN MOLECULAR PARA CORAZON EN CONDICIONES DE STRESS
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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