Abstract
Stereoscopic video delivers depth perception to users contrary to 2-dimenstional video. Therefore, we need to develop a new video quality assessment model for stereoscopic video. In this paper, we propose a new method for objective assessment of stereoscopic video. The proposed method detects blocking artifacts and degradation in edge regions such as in conventional video quality assessment model. In addition, it detects video quality difference between views using depth information. We performed subjective evaluation of stereoscopic video to verify the performance of the proposed method, and we confirmed that the proposed algorithm is superior to PSNR in respect to correlation with the subjective evaluation.
| Original language | English |
|---|---|
| Article number | 723712 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 7237 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | Stereoscopic Displays and Applications XX - San Jose, CA, United States Duration: 2009 Jan 19 → 2009 Jan 21 |
Bibliographical note
Funding Information:aCentre for Environmental Sciences (CFES), Department of Geography, Geoinformatics and Meteorology, University of Pretoria, South Africa bPrecision Agriculture Group, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa cDepartment of Plant and Soil Science, University of Pretoria, South Africa dSchool of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, South Africa
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering