Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/27695

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Title
Recovering enhanced resolution images and digital elevation models from compressed image sequences
Author/Creator
Scarmana, Gabriel;  Fryer, John G.
Description
A device-independent algorithm for the estimation of an enhanced resolution image from a low-resolution compressed sequence is proposed. The algorithm utilises least squares matching to extract the interdependence of the low-resolution images. This algorithm also has the effect of attenuating compression artefacts. Improving the spatial resolution of the image sequence is not the only goal of the enhancement algorithm, as the enhanced images in turn lead to digital elevation models (DEMs) of improved accuracy. Experimental results illustrate the algorithm's performance as a tool for digital photogrammetric applications. Stereoscopic sets of left and right images were taken of objects of known geometry and DEMs were created using both the original coarse images and compressed images enhanced by the algorithm.
Relation
The Photogrammetric Record Vol. 19, Issue 106, p. 149-162
Publisher Link
http://dx.doi.org/10.1111/j.1477-9730.2004.00030.x
Date
2004
Publisher
Blackwell Publishing Ltd
Keyword(s)
digital photogrammetry;  image compression;  resolution
Resource Type
journal article
Identifier
http://hdl.handle.net/1959.13/27695
Identifier
ISSN:1477-9730
Reviewed
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Subject
"The Photogrammetric Record"
 
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