70 citations · 288 across the 8 of their papers we have counts for
8 papers
A method for space-variant deblurring with application to adaptive optics imaging in astronomy
Andrea La Camera, Laura Schreiber, Emiliano Diolaiti +4
Images from adaptive optics systems are generally affected by significant distortions of the point spread function (PSF) across the field of view, depending on the position of natu…
A blind deconvolution method for ground based telescopes and Fizeau interferometers
M. Prato, A. La Camera, S. Bonettini +3
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 mode…
A convergent blind deconvolution method for post-adaptive-optics astronomical imaging
M. Prato, A. La Camera, S. Bonettini +1
In this paper we propose a blind deconvolution method which applies to data perturbed by Poisson noise. The objective function is a generalized Kullback-Leibler divergence, dependi…
Efficient deconvolution methods for astronomical imaging: algorithms and IDL-GPU codes
M. Prato, R. Cavicchioli, L. Zanni +2
The Richardson-Lucy method is the most popular deconvolution method in astronomy because it preserves the number of counts and the non-negativity of the original object. Regulariza…
Image reconstruction for observations with a high dynamic range: LINC-NIRVANA simulations of a stellar jet
Andrea La Camera, Simone Antoniucci, Mario Bertero +3
We report the results of a simulation and reconstruction of observations of a young stellar object (YSO) jet with the LINC-NIRVANA (LN) interferometric instrument, which will be mo…
Accelerating gradient projection methods for -constrained signal recovery by steplength selection rules
I. Loris, M. Bertero, C. De Mol +2
We propose a new gradient projection algorithm that compares favorably with the fastest algorithms available to date for -constrained sparse recovery from noisy data, both…