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Quality Assessment of Stereoscopic Images

Abstract

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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Correspondence to Patrizio Campisi.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Benoit, A., Le Callet, P., Campisi, P. et al. Quality Assessment of Stereoscopic Images. J Image Video Proc 2008, 659024 (2009). https://doi.org/10.1155/2008/659024

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  • DOI: https://doi.org/10.1155/2008/659024

Keywords

  • Image Processing
  • Pattern Recognition
  • Computer Vision
  • Quality Assessment
  • Subjective Assessment