A Systematic Approach to the Reconstruction of Saturated SDO/AIA Images

TL;DR

This paper presents a systematic image reconstruction method for saturated EUV solar images from SDO/AIA, utilizing diffraction fringes to recover core information, demonstrated on a 2013 solar flare event.

Contribution

The paper introduces a novel reconstruction approach that leverages diffraction fringes to recover saturated regions in solar images, enhancing data usability.

Findings

Effective recovery of saturated image regions demonstrated on real solar flare data.

Utilizes standard image processing techniques like correlation, convolution, and back-projection.

Improves the analysis of solar flare images affected by saturation.

Abstract

EUV images of solar flares provided by the Atmospheric Imaging Assembly onboard the Solar Dynamics Observatory (SDO/AIA) are often affected by saturation effects in their core, physically most interesting region. We introduce an image reconstruction procedure that allows recovering information in the primary saturation domain using the secondary images produced by the diffraction fringes as input data. Such a procedure is based on standard image-processing tools like correlation, convolution, and back-projection. Its effectiveness is tested in the case of SDO/AIA observations of the July 8 2013 flaring event.