Myopic deconvolution from wave-front sensing

摘要: Deconvolution from wave-front sensing is a powerful and low-cost high-resolution imaging technique designed to compensate for the image degradation due atmospheric turbulence. It based on simultaneous recording of short-exposure images sensor (WFS) data. Conventional data processing consists sequential estimation wave fronts given WFS then object reconstructed images. However, does not take into account reconstruction errors. A joint respective has therefore been proposed overcome this limitation. The aim our study derive validate robust approach, called myopic deconvolution sensing. Our estimator uses all simultaneously in coherent Bayesian framework. takes noise measurements available priori information be restored as well fronts. Regarding object, an edge-preserving prior implemented validated. This method validated simulations experimental astronomical