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Proceedings Paper

Fried deconvolution
Author(s): Jérôme Gilles; Stanley Osher
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Paper Abstract

In this paper we present a new approach to deblur the effect of atmospheric turbulence in the case of long range imaging. Our method is based on an analytical formulation, the Fried kernel, of the atmosphere modulation transfer function (MTF) and a framelet based deconvolution algorithm. An important parameter is the refractive index structure which requires specific measurements to be known. Then we propose a method which provides a good estimation of this parameter from the input blurred image. The final algorithms are very easy to implement and show very good results on both simulated blur and real images.

Paper Details

Date Published: 18 May 2012
PDF: 12 pages
Proc. SPIE 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 83550G (18 May 2012); doi: 10.1117/12.917234
Show Author Affiliations
Jérôme Gilles, Univ. of California, Los Angeles (United States)
Stanley Osher, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 8355:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII
Gerald C. Holst; Keith A. Krapels, Editor(s)

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