Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Computer-generated holography based on deep learning

Not Accessible

Your library or personal account may give you access


We present a non-iterated generative method for computer-generated holography based on machine learning. A hologram is calculated with a convolutional deep neural network for optically reproducing a target pattern. The proposed method is experimentally demonstrated.

© 2018 Optical Society of Japan

PDF Article
More Like This
Enhanced Two-photon Absorption with Deep Learning-based Computer Generated Holography

M. Hossein Eybposh, Nicholas W. Caira, Matthew Atisa, Praneeth Chakravarthula, and Nicolas C. Pégard
FTu2B.2 Frontiers in Optics (FiO) 2020

Autofocusing using deep learning in off-axis digital holography

Jaesung Lee, Wooyoung Jeong, Kyungchan Son, Wonseok Jeon, and Hyunseok Yang
DTh1C.4 Digital Holography and Three-Dimensional Imaging (DH) 2018

Multi-depth Hologram Generation with Unsupervised-learning Based Computer-generated Holography

Xinghua Shui and Huadong Zheng
W5A.12 Digital Holography and Three-Dimensional Imaging (DH) 2022

Select as filters

Select Topics Cancel
© Copyright 2023 | Optica Publishing Group. All Rights Reserved