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dc.contributor.authorEmberton, Sen_US
dc.contributor.authorChittka, Len_US
dc.contributor.authorCavallaro, Aen_US
dc.date.accessioned2017-09-15T09:28:36Z
dc.date.accessioned2018-02-15T13:56:59Z
dc.date.available2017-08-15en_US
dc.date.issued2018-03en_US
dc.date.submitted2017-09-01T10:18:01.958Z
dc.date.submitted2018-01-16T20:22:14.466Z
dc.identifier.issn1077-3142en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/32415
dc.description.sponsorshipS. Emberton was supported by the UK EPSRC Doctoral Training Centre EP/G03723X/1. Portions of the research in this paper use the PKU-EAQA dataset collected under the sponsorship of the National Natural Science Foundation of China.en_US
dc.format.extent145 - 156en_US
dc.relation.ispartofCOMPUTER VISION AND IMAGE UNDERSTANDINGen_US
dc.relation.replaceshttp://qmro.qmul.ac.uk/xmlui/handle/123456789/25704
dc.relation.replaces123456789/25704
dc.rightsThis is a pre-copyedited, author-produced version of an article accepted for publication in Computer Vision and Image Understanding following peer review. The version of record is available http://www.sciencedirect.com/science/article/pii/S1077314217301418?via%3Dihub
dc.subjectDehazingen_US
dc.subjectImage processingen_US
dc.subjectSegmentationen_US
dc.subjectUnderwateren_US
dc.subjectWhite balancingen_US
dc.subjectVideo processingen_US
dc.titleUnderwater image and video dehazing with pure haze region segmentationen_US
dc.typeArticle
dc.rights.holderhttps://doi.org/10.1016/j.cviu.2017.08.003
dc.identifier.doi10.1016/j.cviu.2017.08.003en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000429185700012&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNo embargoen_US
pubs.publication-statusPublisheden_US
pubs.volume168en_US
qmul.funderEPSRC and AHRC Centre for Doctoral Training in Media and Arts Technology::Engineering and Physical Sciences Research Councilen_US


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