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Proceedings Paper

Image restoration techniques for partially coherent 2-D ladar imaging systems
Author(s): Adam MacDonald; Stephen C. Cain; Ernest E. Armstrong
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Paper Abstract

A new image reconstruction algorithm is used to remove the effect of atmospheric turbulence on motion-compensated frame averaged data collected by a laser illuminated 2-D imaging system. The algorithm simultaneously computes a high resolution image and Fried's seeing parameter via a MAP estimation technique. This blind deconvolution algorithm differs from other techniques in that it parameterizes the unknown component of the impulse response as an average short-exposure point spread function. The utility of the approach lies in its application to laser illuminated imaging where laser speckle and turbulence effects dominate other sources of error and the field of view of the sensor greatly exceeds the isoplanatic angle.

Paper Details

Date Published: 22 October 2004
PDF: 9 pages
Proc. SPIE 5562, Image Reconstruction from Incomplete Data III, (22 October 2004); doi: 10.1117/12.560278
Show Author Affiliations
Adam MacDonald, Air Force Institute of Technology (United States)
Stephen C. Cain, Air Force Institute of Technology (United States)
Ernest E. Armstrong, OptiMetrics, Inc. (United States)


Published in SPIE Proceedings Vol. 5562:
Image Reconstruction from Incomplete Data III
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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