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

Kaiqiang Wang, Qian Kemao, Jianglei Di, Jianlin Zhao

科研成果: 期刊稿件文章同行评审

67 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)4220-4223
页数4
期刊Optics Letters
45
15
DOI
出版状态已出版 - 1 8月 2020

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