Saturation affects a significant rate of images recorded by the Atmospheric Imaging Assembly (AIA) on the Solar Dynamics Observatory (SDO), a solar satellite launched by NASA on February 2010. This talk shows an automatic, inverse-problems-based procedure for the recovery of information in the saturation region based on a correlation/inversion analysis of the diffraction pattern associated to the telescope observations. An assessment of its reliability will be performed against images recorded from different eruptive events.

This presentation is part of Minisymposium “MS9 - Innovative models and algorithms for astronomical imaging (2 parts)”
organized by: Silvia Tozza (INdAM/Dept. Mathematics, University of Rome “La Sapienza”) , Marco Castellano (INAF Osservatorio Astronomico di Roma) , Maurizio Falcone (Dipartimento di Matematica, Università di Roma "La Sapienza") , Adriano Fontana (INAF Osservatorio Astronomico di Roma) .

Authors:

Anna Maria Massone (CNR - SPIN)

Keywords:

image enhancement, image reconstruction, inverse problems, numerical linear algebra, statistical inverse estimation methods