Deconvolution from wave-front sensing - A new technique for compensating turbulence-degraded images

Physics – Optics

Scientific paper

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Atmospheric Turbulence, Image Processing, Image Resolution, Wave Front Reconstruction, High Resolution, Image Reconstruction, Optical Transfer Function, Point Spread Functions, Signal To Noise Ratios

Scientific paper

A new technique of high-resolution imaging through atmospheric turbulence is described. As in speckle interferometry, short-exposure images are recorded, but in addition the associated wave fronts are measured by a Hartmann-Shack wave-front sensor. The wave front is used to calculate the point-spread function. The object is then estimated from the correlation of images and point-spread functions by a deconvolution process. An experimental setup is described, and the first laboratory results, which prove the capabilities of the method, are presented. A signal-to-noise-ratio calculation, permitting a first comparison with the speckle interferometry, is also presented.

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