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

Deep Learning Designed Driving Method for Field Sequential Color Displays

Not Accessible

Your library or personal account may give you access

Abstract

A driving method for field sequential color displays is designed by a lightweight backlight generation neural network, which simultaneously suppresses color breakup and distortion, benefiting from a train set built by multi-objective optimization.

© 2022 The Author(s)

PDF Article  |   Presentation Video
More Like This
New Field Sequential Color Displays with Transient LCD Modes

Y. W. Li and H. S. Kwok
SuJ2 Asia Optical Fiber Communication and Optoelectronic Exposition and Conference (ACP) 2008

Phase Retrieval Method Based on Deep Learning with Single Image Training in Holographic Data Storage

Jianying Hao, Ruixian Chen, Xiao Lin, Tsutomu Shimura, and Xiaodi Tan
IPDP_01 International Symposium on Imaging, Sensing, and Optical Memory (ODS) 2022

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

Poster Presentation

Media 1: PDF (2660 KB)     

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads


More Like This
New Field Sequential Color Displays with Transient LCD Modes

Y. W. Li and H. S. Kwok
SuJ2 Asia Optical Fiber Communication and Optoelectronic Exposition and Conference (ACP) 2008

Phase Retrieval Method Based on Deep Learning with Single Image Training in Holographic Data Storage

Jianying Hao, Ruixian Chen, Xiao Lin, Tsutomu Shimura, and Xiaodi Tan
IPDP_01 International Symposium on Imaging, Sensing, and Optical Memory (ODS) 2022

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

Deep Transfer Learning for Nanophotonic Device Design

Keisuke Kojima, Minwoo Jung, Toshiaki Koike-Akino, Ye Wang, Matthew Brand, and Kieran Parsons
CFA12E_05 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2022

View-dependent Distortion Correction Method for a Multiview Lenticular Light Field Display System

Eunbi Lee, Youngjin Jo, Seung-Woo Nam, and Byoungho Lee
JTu4A.73 Frontiers in Optics (FiO) 2022

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved