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Image Quality Assessment Using Takagi-Sugeno-Kang Fuzzy Model Host Publication: 3rd International Conference on Image, Vision and Computing, ICIVC 2014 Authors: D. �ordevic, D. Kukolj and P. Schelkens Publisher: International Association of Computer Science and Information Technology (IACSIT) Publication Year: 2014 Number of Pages: 8
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 3rd 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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