First photon-detection ghost imaging for weak light imaging

Yasuhiro Mizutani; Shoma Kataoka; Tsutomu Uenohara

doi:10.1117/12.2615673

27 October 2021 First photon-detection ghost imaging for weak light imaging

Yasuhiro Mizutani, Shoma Kataoka, Tsutomu Uenohara

Proceedings Volume 11925, Biomedical Imaging and Sensing Conference 2021; 119250R (2021) https://doi.org/10.1117/12.2615673
Event: SPIE Technologies and Applications of Structured Light, 2021, Online, Japan

Abstract

We propose a novel imaging method using the Ghost Imaging (GI) in a photon limited imaging. In this report, in order to obtain image using few photons, the First Photon-detection Time (FPT) is applied to the GI. The proposed signal detection method is able to obtain a signal with only 1 photon. The FPT has variations that are due to a shot noise. Using a correlation, effect of the noise on images is removed. As a result, the GI with FPT (FPGI) was able to obtain high quality image than a conventional imaging method using same photon number. Furthermore, to improve the detection time, we modified machine learning to reduce the measurement number in the view point of noise influence.

Citation Download Citation

Yasuhiro Mizutani, Shoma Kataoka, and Tsutomu Uenohara "First photon-detection ghost imaging for weak light imaging", Proc. SPIE 11925, Biomedical Imaging and Sensing Conference 2021, 119250R (27 October 2021); https://doi.org/10.1117/12.2615673

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