Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > pcAOP > 2023 > PTu3F > PTu3F.3

Conditional Neural Network for Degraded Image Generation through Atmospheric Turbulence

Abu Bucker Siddik, Steven Sandoval, David Voelz, Laura E Boucheron, and Luis Varela

Not Accessible

Your library or personal account may give you access

Abstract

We propose a conditional neural network to generate degraded images through isoplanatic turbulence. This work establishes the initial baseline for future machine learning developments to generate degraded images through anisoplanatic turbulence.

© 2023 The Author(s)

PDF Article  |   Presentation Video
More Like This
Classification of Turbulence-Degraded Imagery Using Neural Networks

Daniel A. LeMaster, Steven Leung, and Olga L. Mendoza-Schrock
PTu4C.1 Propagation Through and Characterization of Atmospheric and Oceanic Phenomena (pcAOP) 2021

OAM beams multiplexing and classification under atmospheric turbulence via Fourier convolutional neural network

Jiachi Ye, Haoyan Kang, Hao Wang, Salem Altaleb, Elham Heidari, Navid Asadizanjani, Volker J. Sorger, and Hamed Dalir
JTu4A.73 Frontiers in Optics (FiO) 2023

Retrieving Optical Information Through Propagation in Strongly Nonlinear and Turbulent Systems Using Neural Networks

Panagiotis Konstantakis, Maria Manousidaki, Vladimir Yu. Fedorov, and Stelios Tzortzakis
ee_2_3 European Quantum Electronics Conference (EQEC) 2023

View More...

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
Classification of Turbulence-Degraded Imagery Using Neural Networks

Daniel A. LeMaster, Steven Leung, and Olga L. Mendoza-Schrock
PTu4C.1 Propagation Through and Characterization of Atmospheric and Oceanic Phenomena (pcAOP) 2021

OAM beams multiplexing and classification under atmospheric turbulence via Fourier convolutional neural network

Jiachi Ye, Haoyan Kang, Hao Wang, Salem Altaleb, Elham Heidari, Navid Asadizanjani, Volker J. Sorger, and Hamed Dalir
JTu4A.73 Frontiers in Optics (FiO) 2023

Retrieving Optical Information Through Propagation in Strongly Nonlinear and Turbulent Systems Using Neural Networks

Panagiotis Konstantakis, Maria Manousidaki, Vladimir Yu. Fedorov, and Stelios Tzortzakis
ee_2_3 European Quantum Electronics Conference (EQEC) 2023

View More...
Deep Learning Estimation of Modified Zernike Coefficients from Multispectral Imagery in Turbulence

Abu Bucker Siddik, Steven Sandoval, David Voelz, Laura E Boucheron, and Luis Varela
PTu3F.4 Propagation Through and Characterization of Atmospheric and Oceanic Phenomena (pcAOP) 2023

Neural Networks for Neutron Imaging

Gary Saavedra and Verena Geppert-Kleinrath
ITh4C.1 Imaging Systems and Applications (IS) 2023

Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use