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dc.contributor.authorAmirshahi, Seyed Ali
dc.contributor.authorPedersen, Marius
dc.date.accessioned2019-11-27T07:39:03Z
dc.date.available2019-11-27T07:39:03Z
dc.date.created2019-11-08T10:54:21Z
dc.date.issued2019
dc.identifier.citationFinal program and proceedings (Color and Imaging Conference). 2019, 399-403.nb_NO
dc.identifier.issn2166-9635
dc.identifier.urihttp://hdl.handle.net/11250/2630647
dc.description.abstractWith the advancements made in the field of image processing and computer vision, the last few decades have seen an increase in studies focused on image quality assessment. While this has resulted in the introduction of different new metrics which some show high correlation with the perceptual judgement of the human observers there still exists a huge room for improvement. In this short paper which is prepared as a complement to the workshop on Future Directions in Image Quality at CIC 27 in Paris, France we aim to introduce future directions in the field and challenges facing ahead.nb_NO
dc.language.isoengnb_NO
dc.publisherSociety for Imaging Science and Technologynb_NO
dc.titleFuture Directions in Image Qualitynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber399-403nb_NO
dc.source.journalFinal program and proceedings (Color and Imaging Conference)nb_NO
dc.identifier.doi10.2352/issn.2169-2629.2019.27.71
dc.identifier.cristin1745253
dc.relation.projectNorges forskningsråd: 250653nb_NO
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2019 by Society for Imaging Science and Technologynb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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