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Optical Engineering

Supersampling multiframe blind deconvolution resolution enhancement of adaptive optics compensated imagery of low earth orbit satellites
Author(s): David R. Gerwe; David J. Lee; Jeffrey D. Barchers
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Paper Abstract

We describe a postprocessing methodology for reconstructing undersampled image sequences with randomly varying blur that can provide image enhancement beyond the sampling resolution of the sensor. This method is demonstrated on simulated imagery and on adaptive- optics-(AO)-compensated imagery taken by the Starfire Optical Range 3.5-m telescope that has been artificially undersampled. Also shown are the results of multiframe blind deconvolution of some of the highest quality optical imagery of low earth orbit satellites collected with a ground- based telescope to date. The algorithm used is a generalization of multiframe blind deconvolution techniques that include a representation of spatial sampling by the focal plane array elements based on a forward stochastic model. This generalization enables the random shifts and shape of the AO-compensated point spread function (PSF) to be used to partially eliminate the aliasing effects associated with sub-Nyquist sampling of the image by the focal plane array. The method could be used to reduce resolution loss that occurs when imaging in wide-field-of-view (FOV) modes.

Paper Details

Date Published: 1 September 2002
PDF: 14 pages
Opt. Eng. 41(9) doi: 10.1117/1.1497615
Published in: Optical Engineering Volume 41, Issue 9
Show Author Affiliations
David R. Gerwe, Boeing Laser and Electro-Optics Systems (United States)
David J. Lee, Air Force Research Lab. (United States)
Jeffrey D. Barchers, Air Force Research Lab. (United States)

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