We describe recently proposed algorithms, denoted scaled gradient projection (SGP) methods, which provide efficient and accurate reconstructions of astronomical images. We restrict the presentation to the case of data affected by Poisson noise and of nonnegative solutions; both maximum likelihood and Bayesian approaches are considered. Numerical results are presented for discussing the practical behaviour of the SGP methods.

Scaled gradient projection methods for astronomical imaging / M., Bertero; P., Boccacci; Prato, Marco; Zanni, Luca. - STAMPA. - 59:(2013), pp. 325-356. ((Intervento presentato al convegno Reconstruction d'images – applications astrophysiques tenutosi a Fréjus nel 19-22 giugno 2012 [10.1051/eas/1359015].

Scaled gradient projection methods for astronomical imaging

PRATO, Marco;ZANNI, Luca
2013

Abstract

We describe recently proposed algorithms, denoted scaled gradient projection (SGP) methods, which provide efficient and accurate reconstructions of astronomical images. We restrict the presentation to the case of data affected by Poisson noise and of nonnegative solutions; both maximum likelihood and Bayesian approaches are considered. Numerical results are presented for discussing the practical behaviour of the SGP methods.
Reconstruction d'images – applications astrophysiques
Fréjus
19-22 giugno 2012
59
325
356
M., Bertero; P., Boccacci; Prato, Marco; Zanni, Luca
Scaled gradient projection methods for astronomical imaging / M., Bertero; P., Boccacci; Prato, Marco; Zanni, Luca. - STAMPA. - 59:(2013), pp. 325-356. ((Intervento presentato al convegno Reconstruction d'images – applications astrophysiques tenutosi a Fréjus nel 19-22 giugno 2012 [10.1051/eas/1359015].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/927289
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