Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/6642
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dc.contributor.authorĐorđević, Dejanen
dc.contributor.authorKukolj, Draganen
dc.contributor.authorSchelkens P.en
dc.date.accessioned2019-09-30T08:56:29Z-
dc.date.available2019-09-30T08:56:29Z-
dc.date.issued2015-01-01en
dc.identifier.isbn9781628415582en
dc.identifier.issn0277786Xen
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/6642-
dc.description.abstract© 2015 SPIE. The main aim of the paper is to present a non-linear image quality assessment model based on a fuzzy logic estimator, namely the Takagi-Sugeno-Kang fuzzy model. This image quality assessment model uses a clustered space of input objective metrics. Main advantages of the introduced quality model are simplicity and understandably of its fuzzy rules. As reference model the polynomial 3 rd order model was chosen. The parameters of the Takagi-Sugeno-Kang fuzzy model are optimized in accordance to the mapping criteria of the selected set of input objective quality measures to the Mean Opinion Score (MOS) scale.en
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen
dc.titleImage quality assessment using Takagi-Sugeno-Kang fuzzy modelen
dc.typeConference Paperen
dc.identifier.doi10.1117/12.2178767en
dc.identifier.scopus2-s2.0-84925436600en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84925436600en
dc.relation.volume9443en
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFakultet tehničkih nauka, Departman za računarstvo i automatiku-
crisitem.author.orcid0000-0001-9453-9207-
crisitem.author.parentorgFakultet tehničkih nauka-
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