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Proceedings Paper

Superresolution of atmospheric degraded imagery
Author(s): Joseph Jacob Green; Bobby R. Hunt
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Paper Abstract

This paper is concerned with methods for preprocessing a collection of atmospheric turbulence-degraded short-exposure imagery to improver the resolving power of estimation algorithms. In the first portion of our paper we redefine the method known as frame selection in the context of optimization estimation results. Several measure of image quality are compared against idealized standards demonstrating their relative effectiveness to highly rank the least degraded image frames. In particular, we find the Fisher information measure to be the most noise tolerant and robust frame-selection measure. Results from simulated imaging scenarios demonstrate the improved ability of a multiframe maximum a-posteriori estimator to resolve the passband object distribution as well as to further recover the lost spectral content residing beyond the diffraction limit.

Paper Details

Date Published: 5 October 1999
PDF: 8 pages
Proc. SPIE 3763, Propagation and Imaging through the Atmosphere III, (5 October 1999); doi: 10.1117/12.363604
Show Author Affiliations
Joseph Jacob Green, Univ. of Arizona (United States)
Bobby R. Hunt, Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 3763:
Propagation and Imaging through the Atmosphere III
Michael C. Roggemann; Luc R. Bissonnette, Editor(s)

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