Compression of stereo image pairs and streams

Mel Siegel; Priyan Gunatilake; Sriram Sethuraman; Angel G. Jordan

doi:10.1117/12.173899

15 April 1994 Compression of stereo image pairs and streams

Mel Siegel, Priyan Gunatilake, Sriram Sethuraman, Angel G. Jordan

Proceedings Volume 2177, Stereoscopic Displays and Virtual Reality Systems; (1994) https://doi.org/10.1117/12.173899
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

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.

Citation Download Citation

Mel Siegel, Priyan Gunatilake, Sriram Sethuraman, and Angel G. Jordan "Compression of stereo image pairs and streams", Proc. SPIE 2177, Stereoscopic Displays and Virtual Reality Systems, (15 April 1994); https://doi.org/10.1117/12.173899

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