Image-quality assessment for full-disk solar observations with generative adversarial networks

  title={Image-quality assessment for full-disk solar observations with generative adversarial networks},
  author={Robert Jarolim and Astrid M. Veronig and Werner Potzi and Tatiana Podladchikova},
  journal={Astronomy \& Astrophysics},
Context. In recent decades, solar physics has entered the era of big data and the amount of data being constantly produced from ground- and space-based observatories can no longer be purely analyzed by human observers. Aims. In order to assure a stable series of recorded images of sufficient quality for further scientific analysis, an objective image-quality measure is required. Especially when dealing with ground-based observations, which are subject to varying seeing conditions and clouds… 

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