A human visual system-based 3D video quality metric

Author

Banitalebi-Dehkordi, Amin ; Pourazad, Mahsa T. ; Nasiopoulos, Panos

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada

fYear

2012

fDate

3-5 Dec. 2012

Firstpage

1

Lastpage

5

Abstract

Although several 2D quality metrics have been proposed for images and videos, in the case of 3D efforts are only at the initial stages. In this paper, we propose a new full-reference quality metric for 3D content. Our method is modeled around the HVS, fusing the information of both left and right channels, considering color components, the cyclopean views of the two videos and disparity. Performance evaluations showed that our 3D quality metric successfully monitors the degradation of quality caused by several representative types of distortion and it has 86% correlation with the results of subjective evaluations.

Keywords

image colour analysis; stereo image processing; three-dimensional television; video signal processing; visual perception; 2D quality metrics; 3D content; 3D quality metric; HVS; color components; cyclopean views; full-reference quality metric; human visual system-based 3D video quality metric; information fusion; left channel; performance evaluations; right channel; Distortion measurement; Equations; Quality assessment; Three-dimensional displays; Transform coding; Visual systems; 3D video quality metric; 3DTV; stereoscopic video;

fLanguage

English

Publisher

ieee

Conference_Titel

3D Imaging (IC3D), 2012 International Conference on

Conference_Location

Lie??ge

Type

conf

DOI

10.1109/IC3D.2012.6615146

Filename

6615146