Imaging with LINC-NIRVANA

Author

Bertero, M. ; Boccacci, P. ; Desidera, G. ; La Camera, A. ; Carbillet, M. ; Lanteri, Henri

Author_Institution

Univ. of Genova, Genoa, Italy

Volume

27

Issue

1

fYear

2010

Firstpage

110

Lastpage

115

Abstract

The basic problem of LINC-NIRVANA (LN) imaging is to combine the different images for getting a single image, possibly with a resolution close to that of a 22.8 m mirror in all directions. This result can be hardly reached in practice because it depends on the level and uniformity of the adaptive optics (AO) correction and on the declination of the scientific target, controlling the orientations of the baseline that can be used during its observation. In this article, we give a brief introduction to this problem. It can be solved by iterative methods related to the well-known Richardson-Lucy (RL) algorithm. Since RL is a particular case of the maximum likelihood method introduced by Shepp and Vardi in emission tomography and denoted expectation maximization (EM), improvements of EM, proposed in the field of medical imaging can be applied to LN.

Keywords

adaptive optics; astronomical image processing; astronomical techniques; astronomical telescopes; deconvolution; expectation-maximisation algorithm; interferometers; interferometry; Fizeau interferometer; LINC-NIRVANA; Large Binocular Telescope; Richardson-Lucy algorithm; adaptive optics correction; anisotropic resolution; expectation maximization; image deconvolution methods; image fusion; iterative methods; maximum likelihood method; target declination; Anisotropic magnetoresistance; Cameras; Deconvolution; Image resolution; Instruments; Interference; Mirrors; Optical imaging; Optical interferometry; Telescopes;

fLanguage

English

Journal_Title

Signal Processing Magazine, IEEE

Publisher

ieee

ISSN

1053-5888

Type

jour

DOI

10.1109/MSP.2009.934714

Filename

5355501