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

Digital holographic imaging via deep learning

Not Accessible

Your library or personal account may give you access

Abstract

We propose an end-to-end deep learning method for holographic reconstruction. Through this data-driven approach, it is possible to reconstruct a noise-free image that does not require any prior knowledge.

© 2019 The Author(s)

PDF Article
More Like This
Deep learning-based holographic reconstruction in digital holography

Jianglei Di, Kaiqiang Wang, Ying Li, and Jianlin Zhao
HTu4B.2 Digital Holography and Three-Dimensional Imaging (DH) 2020

Fluorescent Lifetime Imaging improved via Deep Learning

Jason T. Smith, Nathan Un, Ruoyang Yao, Nattawut Sinsuebphon, Alena Rudkouskaya, Joseph Mazurkiewicz, Margarida Barroso, Pingkun Yan, and Xavier Intes
NM3C.4 Novel Techniques in Microscopy (NTM) 2019

Facilitating Hyperspectral Single Pixel Lifetime Imaging via deep-learning

M. Ochoa, R Yao, P. Yan, and X. Intes
OT3D.2 Optical Molecular Probes, Imaging and Drug Delivery (OMP) 2019

Select as filters


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