Đorđević, D., Kukolj, D., & Schelkens, P. (2014). Image Quality Assessment Using Takagi-Sugeno-Kang Fuzzy Model. In 3rd International Conference on Image, Vision and Computing (ICIVC) International Association of Computer Science and Information Technology (IACSIT).

@inproceedings{a2e4dd5decaf46f5abcc77544b926620,
title = "Image Quality Assessment Using Takagi-Sugeno-Kang Fuzzy Model",
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.",
keywords = "objective image quality assessment, fuzzy logic, Takagi-Sugeno-Kang fuzzy model",
author = "Dragana {\D}or{\d}evi{\'c} and Dragan Kukolj and Peter Schelkens",
year = "2014",
language = "English",
booktitle = "3rd International Conference on Image, Vision and Computing (ICIVC)",
publisher = "International Association of Computer Science and Information Technology (IACSIT)",
note = "3rd International Conference on Image, Vision and Computing, ICIVC 2014 ; Conference date: 17-09-2014 Through 18-09-2014",
}