MDFP-Net:A model-driven deep neural network for Fourier ptychographyOA
MDFP-Net:A model-driven deep neural network for Fourier ptychography
Baopeng Li;Qi Xie;Caiwen Ma;Zhibin Pan;Mingyang Yang;Hui Zhao;Wei Gao;Xuewu Fan;Deyu Meng
Xi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,China||School of Mathematics and Statistics,Xi'an Jiaotong University,Xi'an 710049,China||University of Chinese Academy of Sciences,Beijing 100049,ChinaSchool of Mathematics and Statistics,Xi'an Jiaotong University,Xi'an 710049,ChinaXi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,ChinaFaculty of Electronic and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,ChinaXi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,ChinaXi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,ChinaXi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,ChinaXi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,ChinaSchool of Mathematics and Statistics,Xi'an Jiaotong University,Xi'an 710049,China
Fourier ptychography(FP)phase retrievalimage super-resolutioninterpretable deep learning
Fourier ptychography(FP)phase retrievalimage super-resolutioninterpretable deep learning
《计算可视媒体（英文）》 2025 (5)
1059-1077,19
We would like to gratefully thank Dr.Jiahong Fu and Prof.Ralph R.Martin for their help polishing the entire paper.This work was supported in part by the National Natural Science Foundation of China(12226004,U21A6005,62272375),the Open Research Fund of the State Key Laboratory of Transient Optics and Photonics(SKLST202114),the High-resolution Earth Observation System of China(GFZX04014307),and the Western Young Scholars of the Chinese Academy of Sciences(XAB2022YN08).
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