A blind deconvolution method for ground based telescopes and Fizeau interferometers
M. Prato, A. La Camera, S. Bonettini, S. Rebegoldi, M. Bertero, P., Boccacci

TL;DR
This paper presents an improved blind deconvolution method for ground-based telescopes and Fizeau interferometers, capable of estimating both the target and PSF from images, with extensions to multiple images and additional constraints.
Contribution
It extends previous blind deconvolution approaches by incorporating a new constraint on the scientific target and handling multiple images with different PSFs, specifically for Fizeau interferometry.
Findings
Method shows promising results in simulations of stellar imaging.
Incorporating constraints improves deconvolution accuracy.
Applicable to single and multiple image scenarios.
Abstract
In the case of ground-based telescopes equipped with adaptive optics systems, the point spread function (PSF) is only poorly known or completely unknown. Moreover, an accurate modeling of the PSF is in general not available. Therefore in several imaging situations the so-called blind deconvolution methods, aiming at estimating both the scientific target and the PSF from the detected image, can be useful. A blind deconvolution problem is severely ill-posed and, in order to reduce the extremely large number of possible solutions, it is necessary to introduce sensible constraints on both the scientific target and the PSF. In a previous paper we proposed a sound mathematical approach based on a suitable inexact alternating minimization strategy for minimizing the generalized Kullback-Leibler divergence, assuring global convergence. In the framework of this method we showed that an important…
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