From sparse coding significance to perceptual quality: a new approach for image quality assessment

dc.contributor.author	Ahar, Ayyoub
dc.contributor.author	Barri, Adriaan
dc.contributor.author	Schelkens, Peter
dc.contributor.imecauthor	Ahar, Ayyoub
dc.contributor.imecauthor	Schelkens, Peter
dc.contributor.orcidimec	Ahar, Ayyoub::0000-0001-8277-7013
dc.contributor.orcidimec	Schelkens, Peter::0000-0003-0908-1655
dc.date.accessioned	2021-10-25T16:31:14Z
dc.date.available	2021-10-25T16:31:14Z
dc.date.embargo	9999-12-31
dc.date.issued	2018
dc.identifier.issn	1057-7149
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/30084
dc.identifier.url	https://ieeexplore.ieee.org/document/8101526
dc.source.beginpage	879
dc.source.endpage	893
dc.source.issue	2
dc.source.journal	IEEE Transactions on Image Processing
dc.source.volume	27
dc.title	From sparse coding significance to perceptual quality: a new approach for image quality assessment
dc.type	Journal article
dspace.entity.type	Publication
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