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arXiv Open Access 2020

Experimental digital Gabor hologram rendering by a model-trained convolutional neural network

J. Rivet A. Taliercio C. Fang G. Tochon T. Géraud +2 lainnya
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Abstrak

Digital hologram rendering can be performed by a convolutional neural network, trained with image pairs calculated by numerical wave propagation from sparse generating images. 512-by-512 pixeldigital Gabor magnitude holograms are successfully estimated from experimental interferograms by a standard UNet trained with 50,000 synthetic image pairs over 70 epochs.

Topik & Kata Kunci

eess.IV physics.data-an physics.optics

Penulis (7)

J

J. Rivet

A

A. Taliercio

C

C. Fang

G

G. Tochon

T

T. Géraud

J

JP. Huignard

M

M. Atlan

Format Sitasi

APA MLA BibTeX
Rivet, J., Taliercio, A., Fang, C., Tochon, G., Géraud, T., Huignard, J. et al. (2020). Experimental digital Gabor hologram rendering by a model-trained convolutional neural network. https://arxiv.org/abs/2004.09126

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Tahun Terbit
2020
Bahasa
en
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arXiv
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Open Access ✓