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dc.contributor.authorTian, Qichong*
dc.contributor.authorCohen, Laurent D.*
dc.date.accessioned2017-12-05T10:55:58Z
dc.date.available2017-12-05T10:55:58Z
dc.date.issued2017
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/17162
dc.descriptionLNCS n°10132en
dc.language.isoenen
dc.subjectColor consistencyen
dc.subjectColor correctionen
dc.subjectHistogram specificationen
dc.subjectGamut preservingen
dc.subjectImage quality assessmenten
dc.subject.ddc621.3en
dc.titleColor Consistency for Photo Collections without Gamut Problemsen
dc.typeCommunication / Conférence
dc.description.abstractenIn this paper, we present a color consistency technique in order to make images in the same collection share the same color style and to avoid gamut problems. Some previous methods define simple global parameter-based models and use optimizing algorithms to obtain the unknown parameters, which usually cause gamut problems in bright and dark regions. Our method is based on the range-preserving histogram specification and can enforce images to share the same color style, without resulting in gamut problems. We divide the input images into two sets having respectively high visual quality and low visual quality. The high visual quality images are used to make color balance. And then the low visual quality images are color transferred using the previous corrected high quality images. Our experiments indicate that such histogram-based color correction method is better than the compared algorithm.en
dc.identifier.citationpages90-101en
dc.relation.ispartoftitleMultiMedia Modeling 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part Ien
dc.relation.ispartofeditorAmsaleg, Laurent
dc.relation.ispartofeditorÞór Guðmundsson, Gylfi
dc.relation.ispartofeditorGurrin, Cathal
dc.relation.ispartofeditorÞór Jónsson, Björn
dc.relation.ispartofeditorSatoh, Shin’ichi
dc.relation.ispartofpublnameSpringeren
dc.relation.ispartofpublcityBerlin Heidelbergen
dc.relation.ispartofdate2017
dc.relation.ispartofurl10.1007/978-3-319-51811-4en
dc.subject.ddclabelTraitement du signalen
dc.relation.ispartofisbn978-3-319-51810-7en
dc.relation.conftitle23rd International Conference on MultiMedia Modeling, MMM 2017en
dc.relation.confdate2017-01
dc.relation.confcityReykjaviken
dc.relation.confcountryIcelanden
dc.relation.forthcomingnonen
dc.identifier.doi10.1007/978-3-319-51811-4_8en
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2017-10-26T12:02:00Z
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