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Communication Dans Un Congrès Année : 2014

3D image quality assessment using Takagi-Sugeno-Kang fuzzy modele

Résumé

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).
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Dates et versions

hal-01160439 , version 1 (05-06-2015)

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Citer

Đorđević Dragana, Kukolj Dragan, Patrick Le Callet. 3D image quality assessment using Takagi-Sugeno-Kang fuzzy modele. IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY), 2014, Sep 2014, Subotica, Serbia. pp.309 - 314, ⟨10.1109/SISY.2014.6923607⟩. ⟨hal-01160439⟩
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