doi: 10.4304/jsw.9.1.37-43
Quality Assessment for Stereoscopic Images by Distortion Separation
- Faculty of Information Science and Engineering, Ningbo University, 315211, Ningbo, China
Abstract
Quality assessment for stereoscopic images is a challenging issue in three-dimensional research. In this paper, we present an objective quality assessment method for stereoscopic images by distortion separation. In the method, we separate the distortion information for the distorted stereoscopic image (i.e., decompose the distorted stereoscopic image into restored and disturbed stereoscopic images), and use phase-amplitude description model and singular value decomposition model to evaluate them respectively. The experimental results show that compared with other schemes, the proposed method can achieve much higher consistency with the subjective assessments.
Keywords
- stereoscopic image quality assessment
- d
How to Cite
Chaozheng Hu, Feng Shao, Gangyi Jiang, Mei Yu, Fucui Li, and Zongju Peng, "Quality Assessment for Stereoscopic Images by Distortion Separation," Journal of Software, vol. 9, no. 1, pp. 37-43, 2014. https://doi.org/ 10.4304/jsw.9.1.37-43
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).