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Proceedings Paper

Comparison of restoration algorithms on high-altitude infrared images
Author(s): David A. Hazzard; Michael K. Giles
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Paper Abstract

Image restoration techniques, iterative and non-iterative, are applied to high-speed infrared images from a ground based telescope of objects at altitudes to reduce the degradation of the images caused by atmospheric turbulence, vibration, and systematic aberrations. Comparisons are made among the following: The Wiener filter, the Richardson-Lucy method, the CLEAN algorithm, and the maximum entropy method. The Wiener and Richardson-Lucy filters are found to have the best overall performance and flexibility when the PSF is known. The Wiener filter consistently provides the shortest restoration time for each set of test images. A good estimate of the PSF, obtained using Tatians's method, is used as an input parameter for each of the restoration algorithms.

Paper Details

Date Published: 25 October 1996
PDF: 8 pages
Proc. SPIE 2827, Digital Image Recovery and Synthesis III, (25 October 1996); doi: 10.1117/12.255084
Show Author Affiliations
David A. Hazzard, New Mexico State Univ. (United States)
Michael K. Giles, New Mexico State Univ. (United States)


Published in SPIE Proceedings Vol. 2827:
Digital Image Recovery and Synthesis III
Paul S. Idell; Timothy J. Schulz, Editor(s)

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