Large-field Astronomical Image Restoration and Superresolution Reconstruction using Deep Learning

The existing astronomical image restoration and superresolution reconstruction methods have problems such as low efficiency and poor results when dealing with images possessing large fields of view. Furthermore, these methods typically only handle fixed-size images and require step-by-step processin...

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Veröffentlicht in:	Publications of the Astronomical Society of the Pacific 2023-11, Vol.135 (1053), p.114505
Hauptverfasser:	Long, Ma, Jiangbin, Du, Jiayao, Zhao, Xuhao, Wang, Yangfan, Peng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Neural networks Optical observatories Signal-to-noise ratio
Online-Zugang:	Volltext
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