Adaptive reconstruction of an undistorted image of an object observed through atmospheric turbulence

Physics – Optics

Scientific paper

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Adaptive Filters, Adaptive Optics, Atmospheric Turbulence, Imaging Techniques, Earth Atmosphere, Maximum Likelihood Estimates, Numerical Analysis, Telescopes

Scientific paper

The feasibility of reconstructing an undistorted image of an object observed through atmospheric turbulence using postdetector adaptive spatial filtering of the spectrum of its short-exposure image is assessed in the framework of the maximum likelihood (ML) criterion. Optimal and quasi-optimal functions of image 'sharpness' are examined. A numerical method for solving the ML equations is developed, and statistical simulation results are presented. The proposed method can be used to enhance the imaging quality of telescope systems.

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