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

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.

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