Compression of stereo image pairs and streams
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.
BibTeX
@conference{Siegel-1994-13625,author = {Mel Siegel and Priyan Gunatilake and S. Sethuraman and Angel Jordan},
title = {Compression of stereo image pairs and streams},
booktitle = {Proceedings of SPIE Stereoscopic Displays and Virtual Reality Systems},
year = {1994},
month = {February},
volume = {2177},
pages = {258 - 268},
}