Image reconstruction of few-mode fiber based on deep learning

Ru Zhang; Jingru Wang; Lipei Song

doi:10.1117/12.2502770

5 November 2018 Image reconstruction of few-mode fiber based on deep learning

Ru Zhang, Jingru Wang, Lipei Song

Proceedings Volume 10816, Advanced Optical Imaging Technologies; 108160H (2018) https://doi.org/10.1117/12.2502770
Event: SPIE/COS Photonics Asia, 2018, Beijing, China

Abstract

In the field of imaging through a single multimode fiber (MMF), various methods have been explored to reconstruct the object. In all these methods, deep learning is more robust and the imaging system is less complex. In this paper, we verified the reconstruction of images from a few-mode fiber with deep learning methods based on the intensity of the light filed with simulation and experiments. Compared with another broadly used method that depends on the measurement of optical fiber transmission matrix, the reconstructed images with deep learning method are not affected by the circular field of view of the fiber aperture.

Citation Download Citation

Ru Zhang, Jingru Wang, and Lipei Song "Image reconstruction of few-mode fiber based on deep learning", Proc. SPIE 10816, Advanced Optical Imaging Technologies, 108160H (5 November 2018); https://doi.org/10.1117/12.2502770

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available