Physics-Informed Variational Autoencoder for Undersampled Fourier Ptychography
Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)(2022)
摘要
This paper presents an unsupervised deep learning method for complex object reconstruction in severely undersampled Fourier ptychographic microscopy. The method requires no ground truth objects, only a dataset of undersampled measurements.
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关键词
undersampled fourier ptychography,physics-informed
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