Acta Photonica Sinica, Volume. 50, Issue 12, 1210004(2021)
Single-shot On-axis Digital Holography Reconstruction Method Based on Deep Learning
A single-frame on-axis digital hologram reconstruction method based on deep learning is proposed to suppress the zero-order and twin images in on-axis digital holography based on the powerful feature extraction capabilities. The U-Net is used to train and reconstruct different kinds on-axis holograms, including intensity and phase targets. The results show that the U-Net-based neural network can achieve high-precision reconstruction of the on-axis holograms. A set of on-axis holograms based on letters with different noise levels are generated to verify the robustness of the U-Net-based neural network. The results show that the U-Net-based neural network is robust to different targets and noise levels, and the structural similarity of the reconstruction results is better than 0.92.
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Chen HE, Hong FANG, Ningchao ZHANG. Single-shot On-axis Digital Holography Reconstruction Method Based on Deep Learning[J]. Acta Photonica Sinica, 2021, 50(12): 1210004
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Received: Jun. 24, 2021
Accepted: Sep. 20, 2021
Published Online: Jan. 25, 2022
The Author Email: FANG Hong (1738284194@qq.com)