doi: 10.4304/jsw.9.7.1841-1847
3D Visual Attention for Stereoscopic Image Quality Assessment
- Faculty of Information Science and Engineering, Ningbo University, 315211, Ningbo, China
Abstract
Depth perception is one of the most importantcharacteristic in three-dimensional (3D) images differentfrom traditional two-dimensional (2D) images. Therefore,3D visual attention will be advantageous to improve 3Dvisual experience and particularly depth perception. In thispaper, we propose a 3D visual attention model forstereoscopic image quality assessment task. The proposedmodel is constructed based on 2D saliency model, centerbias, depth cue (foreground cue and background). Differentcombination and modulation means of the 3D visualattention model for quality assessment are investigated. Theexperimental results show that compared with otherschemes, the proposed 3D visual attention-based poolingscheme can achieve higher consistency with the subjectiveassessment of stereoscopic images.
Keywords
- 3D visual attention
- stereoscopic imageq
How to Cite
Qiuping Jiang, Fenfang Duan, and Feng Shao, "3D Visual Attention for Stereoscopic Image Quality Assessment," Journal of Software, vol. 9, no. 7, pp. 1841-1847, 2014. https://doi.org/ 10.4304/jsw.9.7.1841-1847
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).