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Proceedings Paper

Super-resolution enhancement of flash LADAR range data
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Paper Abstract

Flash LADAR systems are becoming increasingly popular for robotics applications. However, they generally provide a low-resolution range image because of the limited number of pixels available on the focal plane array. In this paper, the application of image super-resolution algorithms to improve the resolution of range data is examined. Super-resolution algorithms are compared for their use on range data and the frequency-domain method is selected. Four low-resolution range images which are slightly shifted and rotated from the reference image are registered using Fourier transform properties and the super-resolution image is built using non-uniform interpolation. Image super-resolution algorithms are typically rated subjectively based on the perceived visual quality of their results. In this work, quantitative methods for evaluating the performance of these algorithms on range data are developed. Edge detection in the range data is used as a benchmark of the data improvement provided by super-resolution. The results show that super-resolution of range data provides the same advantage as image super-resolution, namely increased image fidelity.

Paper Details

Date Published: 5 October 2007
PDF: 10 pages
Proc. SPIE 6736, Unmanned/Unattended Sensors and Sensor Networks IV, 673614 (5 October 2007); doi: 10.1117/12.738212
Show Author Affiliations
Gavin Rosenbush, Univ. of Maryland/College Park (United States)
Tsai Hong, National Institute of Standards and Technology (United States)
Roger D. Eastman, Loyola College in Maryland (United States)

Published in SPIE Proceedings Vol. 6736:
Unmanned/Unattended Sensors and Sensor Networks IV
Edward M. Carapezza, Editor(s)

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