Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/6642
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Đorđević, Dejan | en |
dc.contributor.author | Kukolj, Dragan | en |
dc.contributor.author | Schelkens P. | en |
dc.date.accessioned | 2019-09-30T08:56:29Z | - |
dc.date.available | 2019-09-30T08:56:29Z | - |
dc.date.issued | 2015-01-01 | en |
dc.identifier.isbn | 9781628415582 | en |
dc.identifier.issn | 0277786X | en |
dc.identifier.uri | https://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.ispartof | Proceedings of SPIE - The International Society for Optical Engineering | en |
dc.title | Image quality assessment using Takagi-Sugeno-Kang fuzzy model | en |
dc.type | Conference Paper | en |
dc.identifier.doi | 10.1117/12.2178767 | en |
dc.identifier.scopus | 2-s2.0-84925436600 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84925436600 | en |
dc.relation.volume | 9443 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Fakultet tehničkih nauka, Departman za računarstvo i automatiku | - |
crisitem.author.orcid | 0000-0001-9453-9207 | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
Appears in Collections: | FTN Publikacije/Publications |
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