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Proceedings Paper

Compression of stereo image pairs and streams
Author(s): Mel Siegel; Priyan Gunatilake; Sriram Sethuraman; Angel G. Jordan
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Paper Abstract

We exploit the correlations between 3D-stereoscopic left-right image pairs to achieve high compression factors for image frame storage and image stream transmission. In particular, in image stream transmission, we can find extremely high correlations between left-right frames offset in time such that perspective-induced disparity between viewpoints and motion-induced parallax from a single viewpoint are nearly identical; we coin the term `wordline correlation' for this condition. We test these ideas in two implementations, straightforward computing of blockwise cross-correlations, and multiresolution hierarchical matching using a wavelet-based compression method. We find that good 3D-stereoscopic imagery can be had for only a few percent more storage space or transmission bandwidth than is required for the corresponding flat imagery.

Paper Details

Date Published: 15 April 1994
PDF: 11 pages
Proc. SPIE 2177, Stereoscopic Displays and Virtual Reality Systems, (15 April 1994); doi: 10.1117/12.173899
Show Author Affiliations
Mel Siegel, Carnegie Mellon Univ. (United States)
Priyan Gunatilake, Carnegie Mellon Univ. (United States)
Sriram Sethuraman, Carnegie Mellon Univ. (United States)
Angel G. Jordan, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 2177:
Stereoscopic Displays and Virtual Reality Systems
Scott S. Fisher; John O. Merritt; Mark T. Bolas, Editor(s)

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