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Comparison of image restoration algorithms in the context of horizontal-path imaging

By S. Gladysz and Roberto Baena Galle

Abstract

We have looked at applying various image restoration techniques used in astronomy to the problem of imaging through horizontal-path turbulence. The input data comes from an imaging test over a 2.5km path. The point-spread function (PSF) is estimated directly from the data and supplied to the deconvolution algorithms. We show the usefulness of using this approach, together with the analytical form of the turbulent PSF due to D. Fried, for reference-less imaging scenarios

Topics: turbulence, propagation, experiments, image processing
Year: 2012
DOI identifier: 10.1117/12.936362
OAI identifier: oai:fraunhofer.de:N-217068
Provided by: Fraunhofer-ePrints
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