Volume 460, Number 1, December II 2006
|Page(s)||349 - 355|
|Section||Instruments, observational techniques, and data processing|
|Published online||12 September 2006|
Deconvolution of multiple images with high dynamic range and an application to LBT LINC-NIRVANA
DISI, Università di Genova, via Dodecaneso 35, 16146 Genova, Italy e-mail: firstname.lastname@example.org
2 Laboratoire Universitaire d'Astrophysique de Nice, UMR 6525, Parc Valrose, 06108 Nice Cedex 02, France
Accepted: 6 September 2006
Context.The standard Richardson-Lucy method (RLM) does not work well in the deconvolution of astronomical images containing objects with very different angular scales and magnitudes. Therefore, modifications of RLM, applicable to this kind of objects, must be investigated.
Aims.We recently proposed a regularization of RLM which provides satisfactory results in the case of particular test objects with high dynamic range. In this paper we extend this method to the case of multiple image deconvolution, having in mind application to the reconstruction of the images provided by Fizeau interferometers such as LINC-NIRVANA, the German-Italian beam combiner for the Large Binocular Telescope.
Methods.RLM is an iterative method for the minimization of the Csiszár divergence, a problem equivalent to maximum likelihood estimation in the case of photon noise. In our approach, the problem is regularized by adding a suitable penalization term to the Csiszár divergence and an iterative method converging to the minimum of the resulting functional is derived from the so-called split gradient method (SGM).
Results.The method is tested on a model of young binary star consisting of a core binary surrounded by a dusty circumbinary ring. The results are quite good in the case of exact knowledge of the point spread functions (PSF). However, in the case of approximate knowledge of the PSFs, the accuracy of the reconstruction depends on the difference of magnitude between the ring and the central binary.
Key words: methods: numerical / techniques: image processing
© ESO, 2006
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.