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https://open.uns.ac.rs/handle/123456789/6642
Nаziv: | Image quality assessment using Takagi-Sugeno-Kang fuzzy model | Аutоri: | Đorđević, Dejan Kukolj, Dragan Schelkens P. |
Dаtum izdаvаnjа: | 1-јан-2015 | Čаsоpis: | Proceedings of SPIE - The International Society for Optical Engineering | Sažetak: | © 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. | URI: | https://open.uns.ac.rs/handle/123456789/6642 | ISBN: | 9781628415582 | ISSN: | 0277786X | DOI: | 10.1117/12.2178767 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
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