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The Scientific World Journal
Volume 2014, Article ID 890562, 11 pages
Research Article

A Simple Quality Assessment Index for Stereoscopic Images Based on 3D Gradient Magnitude

Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China

Received 21 February 2014; Revised 9 June 2014; Accepted 10 June 2014; Published 15 July 2014

Academic Editor: Antonio Fernández-Caballero

Copyright © 2014 Shanshan Wang et al. 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.


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.