US 12,346,066 B2
High-speed computer generated holography using convolutional neural networks
Nicolas Christian Richard Pégard, Chapel Hill, NC (US); Mohammad Hossein Eybposh, Chapel Hill, NC (US); Nicholas William Caira, Chapel Hill, NC (US); Mathew Abuya Atisa, Chapel Hill, NC (US); and Praneeth Kumar Chakravarthula, Carrboro, NC (US)
Assigned to THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL, Chapel Hill, NC (US)
Filed by The University of North Carolina at Chapel Hill, Chapel Hill, NC (US)
Filed on Apr. 20, 2021, as Appl. No. 17/235,476.
Claims priority of provisional application 63/012,865, filed on Apr. 20, 2020.
Prior Publication US 2021/0326690 A1, Oct. 21, 2021
Int. Cl. G03H 1/00 (2006.01); G03H 1/08 (2006.01); G03H 1/22 (2006.01); G06F 18/22 (2023.01); G06N 3/02 (2006.01); G06N 3/067 (2006.01); G06N 3/084 (2023.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/88 (2022.01); G03H 1/02 (2006.01)
CPC G03H 1/0808 (2013.01) [G03H 1/2294 (2013.01); G06F 18/22 (2023.01); G06N 3/02 (2013.01); G06N 3/0675 (2013.01); G06N 3/084 (2013.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/88 (2022.01); G03H 2001/0224 (2013.01); G03H 2225/32 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method for computer-generated holography, the method comprising:
providing a target holographic image illumination distribution as input to a trained convolutional neural network (CNN);
generating, using the trained CNN, a predicted complex optical field in an image plane located downstream along an optical axis from a spatial light modulator;
back propagating the complex optical field to a spatial light modulator plane to yield a predicted spatial light modulator phase mask;
configuring the spatial light modulator using the predicted spatial light modulator phase mask; and
passing incident light through the configured spatial light modulator to produce a holographic image.