No-reference stereoscopic image quality assessment

Roushain Akhter*, Z. M. Parvez Sazzad, Y. Horita, J. Baltes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

120 Citations (Scopus)


Display of stereo images is widely used to enhance the viewing experience of three-dimensional imaging and communication systems. In this paper, we propose a method for estimating the quality of stereoscopic images using segmented image features and disparity. This method is inspired by the human visual system. We believe the perceived distortion and disparity of any stereoscopic display is strongly dependent on local features, such as edge (non-plane) and non-edge (plane) areas. Therefore, a no-reference perceptual quality assessment is developed for JPEG coded stereoscopic images based on segmented local features of artifacts and disparity. Local feature information such as edge and non-edge area based relative disparity estimation, as well as the blockiness and the blur within the block of images are evaluated in this method. Two subjective stereo image databases are used to evaluate the performance of our method. The subjective experiments results indicate our model has sufficient prediction performance.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Stereoscopic Displays and Applications XXI
Publication statusPublished - 2010
Externally publishedYes
EventStereoscopic Displays and Applications XXI - San Jose, CA, United States
Duration: 2010 Jan 182010 Jan 20

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherStereoscopic Displays and Applications XXI
Country/TerritoryUnited States
CitySan Jose, CA


  • Auto stereoscopic display
  • Disparity
  • JPEG
  • No-reference
  • Segmentation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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