![](/images/graphics-bg.png)
No-Reference Stereoscopic IQA Approach : From Nonlinear Effect to Parallax Compensation
Joint Authors
Yang, Xiaokang
Zhang, Wenjun
Gu, Ke
Zhai, Guangtao
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
The last decade has seen a booming of the applications of stereoscopic images/videos and the corresponding technologies, such as 3D modeling, reconstruction, and disparity estimation.
However, only a very limited number of stereoscopic image quality assessment metrics was proposed through the years.
In this paper, we propose a new no-reference stereoscopic image quality assessment algorithm based on the nonlinear additive model, ocular dominance model, and saliency based parallax compensation.
Our studies using the Toyama database result in three valuable findings.
First, quality of the stereoscopic image has a nonlinear relationship with a direct summation of two monoscopic image qualities.
Second, it is a rational assumption that the right-eye response has the higher impact on the stereoscopic image quality, which is based on a sampling survey in the ocular dominance research.
Third, the saliency based parallax compensation, resulted from different stereoscopic image contents, is considerably valid to improve the prediction performance of image quality metrics.
Experimental results confirm that our proposed stereoscopic image quality assessment paradigm has superior prediction accuracy as compared to state-of-the-art competitors.
American Psychological Association (APA)
Gu, Ke& Zhai, Guangtao& Yang, Xiaokang& Zhang, Wenjun. 2012. No-Reference Stereoscopic IQA Approach : From Nonlinear Effect to Parallax Compensation. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-472088
Modern Language Association (MLA)
Gu, Ke…[et al.]. No-Reference Stereoscopic IQA Approach : From Nonlinear Effect to Parallax Compensation. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-472088
American Medical Association (AMA)
Gu, Ke& Zhai, Guangtao& Yang, Xiaokang& Zhang, Wenjun. No-Reference Stereoscopic IQA Approach : From Nonlinear Effect to Parallax Compensation. Journal of Electrical and Computer Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-472088
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-472088