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dc.contributor.authorDuque, Carlos Andrés Arango
dc.contributor.authorAbebe, Mekides Assefa
dc.contributor.authorShahid, Mohammed
dc.contributor.authorHardeberg, Jon Yngve
dc.date.accessioned2019-05-21T05:18:01Z
dc.date.available2019-05-21T05:18:01Z
dc.date.created2019-01-20T01:38:33Z
dc.date.issued2018
dc.identifier.issn2575-8144
dc.identifier.urihttp://hdl.handle.net/11250/2598126
dc.description.abstractWhiteboards are commonly used as a medium of instant illustration of ideas during several activities including presentations, lectures, meetings, and related others through videoconferencing systems. However, the acquisition of whiteboard contents is inhibited by issues inherent to the camera technologies, the whiteboard glossy surfaces along with other environmental issues such as room lighting or camera positioning. The contents of whiteboards are mostly invisible due to the low luminance contrast and other related color degradation problems. This article presents an account of a work aimed at extracting the whiteboard image and consequently enhancing its perceptual quality and legibility. Two different methods based on color balancing and color warping are introduced to improve the global and local luminance contrast as well as color saturation of the contents. The methods are implemented based on different general models of the videoconferencing environment for avoiding color shifts and unnaturalness of results. Our evaluations, through psycho-visual experiments, reveal the significance of the proposed method’s improvements over the state of the art methods in terms of visual quality and visibility.nb_NO
dc.language.isoengnb_NO
dc.publisherSociety for Imaging Science and Technologynb_NO
dc.titleColor and Quality Enhancement of Videoconferencing Whiteboardsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.volume1nb_NO
dc.source.journalJournal of Perceptual Imagingnb_NO
dc.source.issue1nb_NO
dc.identifier.doihttps://doi.org/10.2352/J.Percept.Imaging.2018.1.1.010504
dc.identifier.cristin1661064
dc.relation.projectNorges forskningsråd: 256753nb_NO
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2018 by Society for Imaging Science and Technologynb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextoriginal


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