A Simple Quality Assessment Index for Stereoscopic Images Based on 3D Gradient Magnitude
Joint Authors
Jiang, G.
Shao, Feng
Wang, Shanshan
Li, Fucui
Yu, Mei
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
We present a simple quality assessment index for stereoscopic images based on 3D gradient magnitude.
To be more specific, we construct 3D volume from the stereoscopic images across different disparity spaces and calculate pointwise 3D gradient magnitude similarity (3D-GMS) along three horizontal, vertical, and viewpoint directions.
Then, the quality score is obtained by averaging the 3D-GMS scores of all points in the 3D volume.
Experimental results on four publicly available 3D image quality assessment databases demonstrate that, in comparison with the most related existing methods, the devised algorithm achieves high consistency alignment with subjective assessment.
American Psychological Association (APA)
Wang, Shanshan& Shao, Feng& Li, Fucui& Yu, Mei& Jiang, G.. 2014. A Simple Quality Assessment Index for Stereoscopic Images Based on 3D Gradient Magnitude. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1051472
Modern Language Association (MLA)
Wang, Shanshan…[et al.]. A Simple Quality Assessment Index for Stereoscopic Images Based on 3D Gradient Magnitude. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1051472
American Medical Association (AMA)
Wang, Shanshan& Shao, Feng& Li, Fucui& Yu, Mei& Jiang, G.. A Simple Quality Assessment Index for Stereoscopic Images Based on 3D Gradient Magnitude. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1051472
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051472