4 March 2015 Image quality assessment using Takagi-Sugeno-Kang fuzzy model
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Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94430Z (2015) https://doi.org/10.1117/12.2178767
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
Abstract
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.
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Dragana Đorđević, Dragan Kukolj, Peter Schelkens, "Image quality assessment using Takagi-Sugeno-Kang fuzzy model ", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430Z (4 March 2015); doi: 10.1117/12.2178767; https://doi.org/10.1117/12.2178767
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