High-Speed Computer-Generated Holography Using Convolutional Neural Networks

M. Hossein Eybposh, Nicholas W. Caira, Praneeth Chakravarthula, Mathew Atisa, Nicolas C. Pégard

Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN) · 2020 · 11 citations · 4 references

Concepts

Abstract

We introduce a computer-generated holography algorithm based on deep learning with unsupervised training. Our method generates high fidelity holograms in a few milliseconds and outperforms alternate methods that require many iterations and longer computation.

References

4