“…The methods based on pre-calibration or iteration have problems such as being only suitable for a single scene or a large amount of calculation. In recent years, with the wide application of deep learning in various fields, optical problems are also more widely solved by deep learning, including optical interferometry [ 13 ], single-pixel imaging [ 14 , 15 ], wavefront sensing [ 16 , 17 , 18 ], remote sensing [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ] and Fourier ptychography [ 27 , 28 , 29 ]. Using deep learning for image enhancement in imaging systems is also more attractive [ 22 , 23 , 30 , 31 , 32 ].…”