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• W4313887735 startingPage "129264" @default.
• W4313887735 abstract "Zero-order image is the main source of noise in the hologram acquisition process. In this paper, a preprocessing method based on deep learning are proposed. Generative adversarial network is applied to suppress zero-order image of off-axis digital holograms. To simplify data preparation process, we propose a digital hologram corresponding database generation method. The simulated data is used to replace the experimental data in the training network. After testing, the experimental data can be processed into a hologram without zero-order image successfully. And the different types of images are reconstructed with high quality. This method shows high efficiency and excellent robustness." @default.
• W4313887735 created "2023-01-10" @default.
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• W4313887735 date "2023-06-01" @default.
• W4313887735 modified "2023-09-29" @default.
• W4313887735 title "Zero-order term suppression in off-axis holography based on deep learning method" @default.
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• W4313887735 doi "https://doi.org/10.1016/j.optcom.2023.129264" @default.
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