High-Speed Computer-Generated Holography Using Convolutional Neural Networks Page 1
BTu2C.2.pdf Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT …

In this paper, we present a noniterative method for 3D computer-generated holography
based on deep learning. A convolutional neural network is adapted for directly generating a …

Learning-based computer-generated holography (CGH) provides a rapid hologram
generation approach for holographic displays. Supervised training requires a large-scale …

We present a method for computer-generated holography based on deep learning. The
inverse process of light propagation is regressed with a number of computationally …

This work studies the use of machine learning and, in particular, a Convolutional Neural
Network (CNN) to generate digital holograms and how such a network compares to state-of …

We propose and demonstrate a holographic imaging scheme exploiting random
illuminations for recording hologram and then applying numerical reconstruction and twin …

Deep learning-based holographic reconstruction in digital holography Page 1 HTu4B.2.pdf OSA
Imaging and Applied Optics Congress 2020 (3D, AOMS, COSI, DH, ISA) © OSA 2020 Deep …

Current development in a deep neural network (DNN) has given an opportunity to a novel
framework for the reconstruction of a holographic image and a phase recovery method with …

We propose a deep-learning-based approach to producing computer-generated holograms
(CGHs) of real-world scenes. We design an end-to-end convolutional neural network (the …

Computer-generated holography based on neural network holds great promise as a real-
time hologram generation method. However, existing neural network-based approaches …