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This article is part of the series 3D Image and Video Processing.

Open Access Open Badges Research Article

Quality Assessment of Stereoscopic Images

Alexandre Benoit1, Patrick Le Callet1, Patrizio Campisi2* and Romain Cousseau1

Author Affiliations

1 Ecole Polytechnique de l'Université de Nantes, IRCCyN, rue Chritian Pauc, 44306 Nantes Cedex 3, France

2 Dipartimento di Elettronica Applicata, Università degli Studi Roma Tre, Via della Vasca Navale 84, 00146 Roma, Italy

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EURASIP Journal on Image and Video Processing 2008, 2008:659024  doi:10.1155/2008/659024

The electronic version of this article is the complete one and can be found online at: http://jivp.eurasipjournals.com/content/2008/1/659024

Received:31 March 2008
Revisions received:1 July 2008
Accepted:14 October 2008
Published:26 January 2009

© 2008 The Author(s).

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.


Several metrics have been proposed in literature to assess the perceptual quality of two-dimensional images. However, no similar effort has been devoted to quality assessment of stereoscopic images. Therefore, in this paper, we review the different issues related to 3D visualization, and we propose a quality metric for the assessment of stereopairs using the fusion of 2D quality metrics and of the depth information. The proposed metric is evaluated using the SAMVIQ methodology for subjective assessment. Specifically, distortions deriving from coding are taken into account and the quality degradation of the stereopair is estimated by means of subjective tests.

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