Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/7892
Title: | 3D image quality assessment using Takagi-Sugeno-Kang fuzzy modele | Authors: | Đorđević, Dejan Kukolj, Dragan Callet P. |
Issue Date: | 1-Jan-2014 | Journal: | SISY 2014 - IEEE 12th International Symposium on Intelligent Systems and Informatics, Proceedings | Abstract: | © 2014 IEEE. This paper analyzes and presents impact of two types of the objective image quality assessment measures, no-reference and full-reference measures, on perception quality of 3D image using fuzzy logic estimator namely the Takagi-Sugeno-Kang fuzzy model. Based on the choice of two types of model's inputs, a comparative analysis is performed in this paper. All parameters of the no-reference and full-reference Takagi-Sugeno-Kang models are optimized in accordance to the selected sets mapping criteria of the input objective quality measures to the corresponding Differential Mean Opinion Scores (DMOS). | URI: | https://open.uns.ac.rs/handle/123456789/7892 | ISBN: | 9781479959969 | DOI: | 10.1109/SISY.2014.6923607 |
Appears in Collections: | FTN Publikacije/Publications |
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.