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Proceedings Paper

Estimation of the atmospheric blurring function using blind image quality metrics
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Paper Abstract

The application of speckle imaging techniques to the reconstruction of scenes degraded by atmospheric turbulence requires knowledge of the underlying atmospheric blurring function. This requirement is especially important in horizontal imaging of extended objects where the use of generalized inverse filters may result in reconstruction artifacts. In this work, a variety blind image quality metrics are evaluated to the task of optimizing the blurring function used for object amplitude recovery when is used C2n as a free parameter. Effectiveness is evaluated by comparing the optimum images selected by each metric to the minimum mean squared error image. After establishing a baseline to the MSE using simulated imagery metrics are applied to field-acquired imagery and the results evaluated subjectively.

Paper Details

Date Published: 24 October 2012
PDF: 13 pages
Proc. SPIE 8517, Laser Communication and Propagation through the Atmosphere and Oceans, 85170J (24 October 2012); doi: 10.1117/12.930389
Show Author Affiliations
Jeremy P. Bos, Michigan Technological Univ. (United States)
Michael C. Roggemann, Michigan Technological Univ. (United States)


Published in SPIE Proceedings Vol. 8517:
Laser Communication and Propagation through the Atmosphere and Oceans
Alexander M. J. van Eijk; Christopher C. Davis; Stephen M. Hammel; Arun K. Majumdar, Editor(s)

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