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dc.contributor.authorGaldran, Adrian
dc.contributor.authorPardo, David
dc.contributor.authorPicon, Artzai
dc.contributor.authorAlvarez-Gila, Aitor
dc.date.accessioned2016-11-04T08:49:53Z
dc.date.available2016-11-04T08:49:53Z
dc.date.issued2015-01
dc.identifier.citationAdrian Galdran, David Pardo, Artzai Picón, Aitor Alvarez-Gila, Automatic Red-Channel underwater image restoration, Journal of Visual Communication and Image Representation, Volume 26, January 2015, Pages 132-145, ISSN 1047-3203, http://dx.doi.org/10.1016/j.jvcir.2014.11.006.en
dc.identifier.issn1047-3203en
dc.identifier.urihttp://hdl.handle.net/11556/314
dc.description.abstractUnderwater images typically exhibit color distortion and low contrast as a result of the exponential decay that light suffers as it travels. Moreover, colors associated to different wavelengths have different attenuation rates, being the red wavelength the one that attenuates the fastest. To restore underwater images, we propose a Red Channel method, where colors associated to short wavelengths are recovered, as expected for underwater images, leading to a recovery of the lost contrast. The Red Channel method can be interpreted as a variant of the Dark Channel method used for images degraded by the atmosphere when exposed to haze. Experimental results show that our technique handles gracefully artificially illuminated areas, and achieves a natural color correction and superior or equivalent visibility improvement when compared to other state-of-the-art methods.en
dc.description.sponsorshipDavid Pardo was partially funded by the Project of the Spanish Ministry of Economy and Competitiveness with reference MTM2013-40824-P, the BCAM "Severo Ochoa" accreditation of excellence SEV-2013-0323, the CYTED 2011 Project 712RT0449, and the Basque Government Consolidated Research Group Grant IT649-13 on "Mathematical Modeling, Simulation, and Industrial Applications (M2SI)".en
dc.language.isoengen
dc.publisherACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USAen
dc.titleAutomatic Red-Channel underwater image restorationen
dc.typearticleen
dc.identifier.doi10.1016/j.jvcir.2014.11.006en
dc.isiYesen
dc.rights.accessRightsembargoedAccessen
dc.subject.keywordsUnderwater image restorationen
dc.subject.keywordsColor correctionen
dc.subject.keywordsImage dehazingen
dc.subject.keywordsContrast enhancementen
dc.subject.keywordsVisibility recoveryen
dc.subject.keywordsDark Channelen
dc.subject.keywordsArtificial lightingen
dc.subject.keywordsAttenuationen
dc.subject.keywordsUnderwater image degradationen


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