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

Complex field recovery from on-axis digital hologram using deep learning

Not Accessible

Your library or personal account may give you access

Abstract

Conventional on-axis holography requires multiple holograms to obtain a complex field. We propose a deep learning network that recovers complex field preserving the depth information from a single on-axis hologram of diffusive objects.

© 2021 The Author(s)

PDF Article  |   Presentation Video
More Like This
Hologram Reconstruction using cascaded deep learning networks

Hyon-Gon Choo, Yeon-Gyeong Ju, Kwan-Jung Oh, Yongjun Lim, and Jae-Hyeung Park
DF4C.3 Digital Holography and Three-Dimensional Imaging (DH) 2021

Resolution improvement and blur removal of light field data converted from hologram using deep learning

Dae-Youl Park and Jae-Hyeung Park
DF4C.5 Digital Holography and Three-Dimensional Imaging (DH) 2021

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

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
Hologram Reconstruction using cascaded deep learning networks

Hyon-Gon Choo, Yeon-Gyeong Ju, Kwan-Jung Oh, Yongjun Lim, and Jae-Hyeung Park
DF4C.3 Digital Holography and Three-Dimensional Imaging (DH) 2021

Resolution improvement and blur removal of light field data converted from hologram using deep learning

Dae-Youl Park and Jae-Hyeung Park
DF4C.5 Digital Holography and Three-Dimensional Imaging (DH) 2021

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 Deep Neural Network Using Focal Stacks

Eunbi Lee, Dongheon Yoo, Juhyun Lee, and Byoungho Lee
DF4C.6 Digital Holography and Three-Dimensional Imaging (DH) 2021

Generation of high-resolution and speckle reduced light field data from hologram using deep learning

Dae-Youl Park and Jae-Hyeung Park
W3A.33 Digital Holography and Three-Dimensional Imaging (DH) 2019

Select as filters


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