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Open Access

Quality Assessment of Stereoscopic Images

  • Alexandre Benoit1,
  • Patrick Le Callet1,
  • Patrizio Campisi2Email author and
  • Romain Cousseau1
EURASIP Journal on Image and Video Processing20092008:659024

Received: 31 March 2008

Accepted: 14 October 2008

Published: 26 January 2009


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.


Image ProcessingPattern RecognitionComputer VisionQuality AssessmentSubjective Assessment

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Authors’ Affiliations

Ecole Polytechnique de l'Université de Nantes, IRCCyN, Nantes Cedex 3, France
Dipartimento di Elettronica Applicata, Università degli Studi Roma Tre, Roma, Italy


© Alexandre Benoit et al. 2008

This article is published under license to BioMed Central Ltd. 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.