Add to BibSonomyAbstract
A deep learning method is proposed to calculate holograms in real-time. After training, it can generate holograms for all R/G/B channels within 10 msec. Simulation results confirm successfully reconstruct the target training and testing images.
© 2019 The Author(s)
PDF ArticleMore Like This
Deep neural network and its training strategy for converting computer-generated hologram between different display systems
Juhyun Lee and Byoungho Lee
W2A.11 Digital Holography and Three-Dimensional Imaging (DH) 2022
Optical reconstruction of computer generated holograms by a binocular holographic projection 3D display
Hwi Kim, Eunkyong Moon, Yohan Park, Chanyeol Bae, and Dajeong Im
FTu4F.1 Frontiers in Optics (FiO) 2013
Real-Time Reconstruction of 3D Compressive Samples with Deep Learning
Vladislav Kravets and Adrian Stern
3F2A.2 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2022