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Y4-Net: a deep learning solution to one-shot dual-wavelength digital holographic reconstruction

Kaiqiang Wang, Qian Kemao, Jianglei Di, and Jianlin Zhao

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Abstract

In this Letter, a deep learning solution (Y4-Net, four output channels network) to one-shot dual-wavelength digital holography is proposed to simultaneously reconstruct the complex amplitude information of both wavelengths from a single digital hologram with high efficiency. In the meantime, by using single-wavelength results as network ground truth to train the Y4-Net, the challenging spectral overlapping problem in common-path situations is solved with high accuracy.

© 2020 Optical Society of America

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