dc.contributor.author | Amirshahi, Seyed Ali | |
dc.contributor.author | Pedersen, Marius | |
dc.date.accessioned | 2019-11-27T07:39:03Z | |
dc.date.available | 2019-11-27T07:39:03Z | |
dc.date.created | 2019-11-08T10:54:21Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Final program and proceedings (Color and Imaging Conference). 2019, 399-403. | nb_NO |
dc.identifier.issn | 2166-9635 | |
dc.identifier.uri | http://hdl.handle.net/11250/2630647 | |
dc.description.abstract | With 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.iso | eng | nb_NO |
dc.publisher | Society for Imaging Science and Technology | nb_NO |
dc.title | Future Directions in Image Quality | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | submittedVersion | nb_NO |
dc.source.pagenumber | 399-403 | nb_NO |
dc.source.journal | Final program and proceedings (Color and Imaging Conference) | nb_NO |
dc.identifier.doi | 10.2352/issn.2169-2629.2019.27.71 | |
dc.identifier.cristin | 1745253 | |
dc.relation.project | Norges forskningsråd: 250653 | nb_NO |
dc.description.localcode | This article will not be available due to copyright restrictions (c) 2019 by Society for Imaging Science and Technology | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.qualitycode | 1 | |