Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations
Context. Large aperture ground-based solar telescopes allow the solar atmosphere to be resolved in unprecedented detail. However, ground-based observations are inherently limited due to Earth's turbulent atmosphere, requiring image correction techniques. Aims. Recent post-image reconstruction techniques are based on using information from bursts of
Schirninger, C. et al.
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2025