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Titolo:
Myopic deconvolution from wave-front sensing
Autore:
Mugnier, LM; Robert, C; Conan, JM; Michau, V; Salem, S;
Indirizzi:
Off Natl Etud & Rech Aerosp, Dept Opt, F-92322 Chatillon, France Off Natl Etud & Rech Aerosp Chatillon France F-92322 2 Chatillon, France
Titolo Testata:
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
fascicolo: 4, volume: 18, anno: 2001,
pagine: 862 - 872
SICI:
1084-7529(200104)18:4<862:MDFWS>2.0.ZU;2-X
Fonte:
ISI
Lingua:
ENG
Soggetto:
TO-NOISE RATIO; REFERENCED SPECKLE-HOLOGRAPHY; FIELD-OF-VIEW; ADAPTIVE OPTICS; IMAGE-RECONSTRUCTION; ZERNIKE POLYNOMIALS; BLIND DECONVOLUTION; PHASE ESTIMATION; DEGRADED IMAGES; OBJECT;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
42
Recensione:
Indirizzi per estratti:
Indirizzo: Mugnier, LM Off Natl Etud & Rech Aerosp, Dept Opt, BP 72, F-92322 Chatillon, France Off Natl Etud & Rech Aerosp BP 72 Chatillon France F-92322 ce
Citazione:
L.M. Mugnier et al., "Myopic deconvolution from wave-front sensing", J OPT SOC A, 18(4), 2001, pp. 862-872

Abstract

Deconvolution from wave-front sensing is a powerful and low-cost high-resolution imaging technique designed to compensate for the image degradation due to atmospheric turbulence. It is based on a simultaneous recording of short-exposure images and wave-front sensor (WFS) data. Conventional data processing consists of a sequential estimation of the wave fronts given the WFS data and then of the object given the reconstructed wave fronts and the images. However, the object estimation does not take into account the wave-front reconstruction errors. A joint estimation of the object and the respective wave fronts has therefore been proposed to overcome this limitation. The aim of our study is to derive and validate a robust joint estimation approach, called myopic deconvolution from wave-front sensing. Our estimator uses all data simultaneously in a coherent Bayesian framework. It takes intoaccount the noise in the images and in the WFS measurements and the available a priori information on the object to be restored as well as on the wave fronts. Regarding the a priori information on the object, an edge-preserving prior is implemented and validated. This method is validated on simulations and on experimental astronomical data. (C) 2001 Optical Society of America.

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Documento generato il 26/01/20 alle ore 01:06:10