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.
Conference Committee Involvement (5)
Optics, Photonics and Digital Technologies for Imaging Applications VII
6 April 2022 | Strasbourg, France
Optics, Photonics and Digital Technologies for Imaging Applications VI
6 April 2020 | Online Only, France
Optics, Photonics and Digital Technologies for Imaging Applications
24 April 2018 | Strasbourg, France
Optics, Photonics and Digital Technologies for Imaging Applications
5 April 2016 | Brussels, Belgium
Optics, Photonics and Digital Technologies for Multimedia Applications
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