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Proceedings Paper

Superresolution in image restoration of wide-area images viewed through atmospheric turbulence
Author(s): Andrew J. Lambert; Donald Fraser; M. Reza Sayyah Jahromi; Bobby R. Hunt
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Paper Abstract

We postulate that under anisoplanatic imaging conditions involving imaging through turbulent media over a wide-area there exists the possibility of spatial frequency content that is normally lost outside the aperture of an imaging instrument under unperturbed viewing conditions, being aliased into the aperture. Simulation is presented that reinforces this premise. We apply restoration algorithms that were designed to correct non-uniform distortions, to a real image sequence to the effect of noticing the de-aliased super-frequency content. We claim this to be super-resolution, and that it is only possible under anisoplanatic imaging scenarios, where the point spread function of the image is position dependent as a result of the atmospheric turbulence.

Paper Details

Date Published: 23 December 2002
PDF: 9 pages
Proc. SPIE 4792, Image Reconstruction from Incomplete Data II, (23 December 2002); doi: 10.1117/12.451787
Show Author Affiliations
Andrew J. Lambert, Univ. of New South Wales (Australia)
Donald Fraser, Univ. of New South Wales (Australia)
M. Reza Sayyah Jahromi, Univ. of New South Wales (Australia)
Bobby R. Hunt, Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 4792:
Image Reconstruction from Incomplete Data II
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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