Scarmana, Gabriel and Fryer, John G. (2004) Recovering enhanced resolution images and digital elevation models from compressed image sequences. Photogrammetric Record, 19 (106). pp. 149-162. ISSN 0031-868X
Abstract
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.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Permanent restricted access to Published version due to publisher copyright policy. |
| Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering |
| Date Deposited: | 17 Feb 2015 05:00 |
| Last Modified: | 29 Sep 2016 02:57 |
| Uncontrolled Keywords: | digital photogrammetry, image compression, resolution enhancement |
| Fields of Research : | 09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing |
| Socio-Economic Objective: | E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering |
| Funding Details: | |
| URI: | http://eprints.usq.edu.au/id/eprint/26352 |
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