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Deep learning-based holographic reconstruction in digital holography

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Abstract

We propose a one-to-two neural network framework for digital holographic reconstruction from a single-wavelength or dual-wavelength digital hologram and also propose a one to one neural network to achieve phase unwrapping.

© 2020 The Author(s)

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More Like This
Deep-learning in digital holography with imperfect data

Zhang Meng, Da Yin, Liqi Ding, Shaotong Feng, and Caojin Yuan
JTh4D.1 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2020

Automatic Detection of Microplastics by Deep Learning Enabled Digital Holography

Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam
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Silvio Montresor, Marie Tahon, Antoine Laurent, and Pascal Picart
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