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), CBLU, University of Leeds
* revised and updated by: Marcus Hennecke, Ross Moore, Herb Swan
* with significant contributions from:
Jens Lippmann, Marek Rouchal, Martin Wilck and others -->
Image restoration methods for the Large Binocular Telescope
(LBT) Up:Abstract
Astron. Astrophys. Suppl. Ser.147, 323-333
Image restoration methods for the Large Binocular Telescope
(LBT)
M. Bertero
- P. Boccacci
Send offprint request: M. Bertero,
e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
INFM and DISI, Universitá di Genova, Via Dodecaneso 35, I-16146 Genova, Italy
Received May 16; accepted September 7, 2000
Abstract:
A complete exploitation of the imaging properties of the Large
Binocular Telescope (LBT) will require a generalization of the restoration
methods which apply to the case of a single image. Several
different observations must be combined to obtain a high-resolution
representation of a given target. The purpose of this paper is to extend
to this problem some of the most used restoration methods, including linear
methods such as Tikhonov regularization as well as
iterative regularization methods providing positive solution. The
proposed methods are
implemented and tested on simulated LBT images of diffuse and
point-like objects. The results are discussed both from the point of view
of the accuracy and from that of the computational
efficiency, because LBT images may contain, in principle, up to 108 pixels.
