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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

计算可视媒体(英文)2025,Vol.11Issue(5):1059-1077,19.
计算可视媒体(英文)2025,Vol.11Issue(5):1059-1077,19.DOI:10.26599/CVM.2025.9450442

MDFP-Net:A model-driven deep neural network for Fourier ptychography

MDFP-Net:A model-driven deep neural network for Fourier ptychography

Baopeng Li 1Qi Xie 2Caiwen Ma 3Zhibin Pan 4Mingyang Yang 3Hui Zhao 3Wei Gao 3Xuewu Fan 3Deyu Meng2

作者信息

  • 1. 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,China
  • 2. School of Mathematics and Statistics,Xi'an Jiaotong University,Xi'an 710049,China
  • 3. Xi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,China
  • 4. Faculty of Electronic and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,China
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摘要

关键词

Fourier ptychography(FP)/phase retrieval/image super-resolution/interpretable deep learning

Key words

Fourier ptychography(FP)/phase retrieval/image super-resolution/interpretable deep learning

引用本文复制引用

Baopeng Li,Qi Xie,Caiwen Ma,Zhibin Pan,Mingyang Yang,Hui Zhao,Wei Gao,Xuewu Fan,Deyu Meng..MDFP-Net:A model-driven deep neural network for Fourier ptychography[J].计算可视媒体(英文),2025,11(5):1059-1077,19.

基金项目

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). (12226004,U21A6005,62272375)

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