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

Author

Dordevic, Dragana ; Kukolj, Dragan ; Le Callet, Patrick

Author_Institution

RT-RK Inst. for Comput. Based Syst., Novi Sad, Serbia

fYear

2014

fDate

11-13 Sept. 2014

Firstpage

309

Lastpage

314

Abstract

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).

Keywords

fuzzy logic; fuzzy reasoning; fuzzy set theory; image processing; 3D image perception quality; 3D image quality assessment; DMOS; differential mean opinion scores; full-reference Takagi-Sugeno-Kang fuzzy model; full-reference measures; fuzzy logic estimator; input objective quality measures; no-reference Takagi-Sugeno-Kang fuzzy model; no-reference measures; set mapping criteria; Correlation; Energy measurement; Image quality; Mathematical model; Takagi-Sugeno-Kang model; Three-dimensional displays; 3D image; Differential Mean Opinion Score; Full-reference metrics; Fuzzy logic; Image Quality Assessment; No-reference metrics; Takagi-Sugeno-Kang;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Informatics (SISY), 2014 IEEE 12th International Symposium on

Conference_Location

Subotica

Type

conf

DOI

10.1109/SISY.2014.6923607

Filename

6923607