| Issue |
EAS Publications Series
Volume 59, 2013
New Concepts in Imaging: Optical and Statistical Models
|
|
|---|---|---|
| Page(s) | 325 - 356 | |
| Section | Statistical Models in Signal and Image Processing | |
| DOI | https://doi.org/10.1051/eas/1359015 | |
| Published online | 13 March 2013 | |
D. Mary, C. Theys and C. Aime (eds)
EAS Publications Series, 59 (2013) 325-356
Scaled Gradient Projection Methods for Astronomical Imaging
1
DIBRIS, Università di Genova, via Dodecaneso 45, 16146
Genova,
Italy
2
DISFIM, Università di Modena e Reggio Emilia,
via Campi 213/b, 41125
Modena,
Italy
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.
© EAS, EDP Sciences 2013