Image quality assessment using Takagi-Sugeno-Kang fuzzy model
Dragana Đorđević, Dragan Kukolj, Peter Schelkens · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
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.