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dc.contributor.authorGaldran, A.
dc.contributor.authorPardo, D. 
dc.contributor.authorPicón, A.
dc.contributor.authorAlvarez-Gila, A.
dc.date.accessioned2016-06-13T13:11:51Z
dc.date.available2016-06-13T13:11:51Z
dc.date.issued2015-12-31
dc.identifier.issn1047-3203
dc.identifier.urihttp://hdl.handle.net/20.500.11824/93
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.
dc.formatapplication/pdf
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectArtificial lighting
dc.subjectAttenuation
dc.subjectColor correction
dc.subjectContrast enhancement
dc.subjectDark Channel
dc.subjectImage dehazing
dc.subjectUnderwater image degradation
dc.subjectUnderwater image restoration
dc.subjectVisibility recovery
dc.titleAutomatic Red-Channel underwater image restorationen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1016/j.jvcir.2014.11.006
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S1047320314001874
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersionen_US
dc.journal.titleJournal of Visual Communication and Image Representationen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España