Review of deep learning based de-noising algorithms for phase imaging and applications to high-speed coherent imaging

Silvio Montresor; Marie Tahon; Pascal Picart; Pascal Picart

doi:10.1364/DH.2021.DTh1D.1

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper DTh1D.1
•https://doi.org/10.1364/DH.2021.DTh1D.1

Review of deep learning based de-noising algorithms for phase imaging and applications to high-speed coherent imaging

Silvio Montresor, Marie Tahon, and Pascal Picart

Digital Holography and Three-Dimensional Imaging 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

From the session
Deep Learning, Neural Networks and Holographic Processing I (DTh1D)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
S. Montresor, M. Tahon, and P. Picart, "Review of deep learning based de-noising algorithms for phase imaging and applications to high-speed coherent imaging," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper DTh1D.1.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Get Video
Citation alert
Save article

Abstract

We present a review of deep-learning based algorithms dedicated to the processing of the speckle noise in phase imaging with a focus on the decorrelation phase noise. Applications to high-speed coherent imaging are discussed.

PDF Article | Presentation Video

More Like This

An iterative scheme based on deep learning combined with input noise estimator for phase data processing in digital holographic interferometry

Silvio Montresor, Marie Tahon, Antoine Laurent, and Pascal Picart
HTu4B.4 Digital Holography and Three-Dimensional Imaging (DH) 2020

Benchmark of deep learning approaches for phase denoising in digital holography

Silvio Montresor, Ketao Yan, Marie Tahon, Kemao Qian, Yingjie Yu, and Pascal Picart
HW3C.4 Digital Holography and Three-Dimensional Imaging (DH) 2023

Hyperspectral Image Analysis: From Conventional Model-based Algorithms towards Deep Learning

Behnood Rasti
HTh2B.2 Hyperspectral Imaging and Sounding of the Environment (HISE) 2021

Previous Article Next Article

Presentation Video

Presentation video access is available to:

Optica Publishing Group subscribers
Technical meeting attendees
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