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Proceedings Paper

No-reference stereoscopic image quality assessment
Author(s): Roushain Akhter; Z. M. Parvez Sazzad; Y. Horita; J. Baltes
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Paper Abstract

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.

Paper Details

Date Published: 24 February 2010
PDF: 12 pages
Proc. SPIE 7524, Stereoscopic Displays and Applications XXI, 75240T (24 February 2010); doi: 10.1117/12.838775
Show Author Affiliations
Roushain Akhter, Univ. of Manitoba (Canada)
Z. M. Parvez Sazzad, Univ. of Toyama (Japan)
Y. Horita, Univ. of Toyama (Japan)
J. Baltes, Univ. of Manitoba (Canada)


Published in SPIE Proceedings Vol. 7524:
Stereoscopic Displays and Applications XXI
Andrew J. Woods; Nicolas S. Holliman; Neil A. Dodgson, Editor(s)

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