Fried deconvolution

Jérôme Gilles; Stanley Osher

doi:10.1117/12.917234

18 May 2012 Fried deconvolution

Jérôme Gilles, Stanley Osher

Proceedings Volume 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII; 83550G (2012) https://doi.org/10.1117/12.917234
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Jérôme Gilles and Stanley Osher "Fried deconvolution", Proc. SPIE 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 83550G (18 May 2012); https://doi.org/10.1117/12.917234

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