Enhanced Single Pixel Imaging in Atmospheric Turbulence

Yin Cheng; Yusen Liao; Shuaijun Zhou; Jingan Chen; Edmund Y. Lam; Jun Ke

doi:10.1364/COSI.2024.CF1B.5

Enhanced Single Pixel Imaging in Atmospheric Turbulence

Yin Cheng, Yusen Liao, Shuaijun Zhou, Jingan Chen, Edmund Y. Lam, Jun Ke^*

^*Corresponding author for this work

School of Optics and Photonics

Research output: Contribution to conference › Paper › peer-review

Abstract

The imaging quality of single pixel imaging in atmospheric turbulence is enhanced by combining a deep learning model with classical methods. The effectiveness of this method was confirmed by optical experiments.

Original language	English
DOIs	https://doi.org/10.1364/COSI.2024.CF1B.5
Publication status	Published - 2024
Event	Computational Optical Sensing and Imaging, COSI 2024 - Part of Optica Imaging Congress - Toulouse, France Duration: 15 Jul 2024 → 19 Jul 2024

Conference

Conference	Computational Optical Sensing and Imaging, COSI 2024 - Part of Optica Imaging Congress
Country/Territory	France
City	Toulouse
Period	15/07/24 → 19/07/24

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10.1364/COSI.2024.CF1B.5

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title = "Enhanced Single Pixel Imaging in Atmospheric Turbulence",

abstract = "The imaging quality of single pixel imaging in atmospheric turbulence is enhanced by combining a deep learning model with classical methods. The effectiveness of this method was confirmed by optical experiments.",

author = "Yin Cheng and Yusen Liao and Shuaijun Zhou and Jingan Chen and Lam, {Edmund Y.} and Jun Ke",

note = "Publisher Copyright: {\textcopyright} 2024 The Author(s).; Computational Optical Sensing and Imaging, COSI 2024 - Part of Optica Imaging Congress ; Conference date: 15-07-2024 Through 19-07-2024",

year = "2024",

doi = "10.1364/COSI.2024.CF1B.5",

language = "English",

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TY - CONF

T1 - Enhanced Single Pixel Imaging in Atmospheric Turbulence

AU - Cheng, Yin

AU - Liao, Yusen

AU - Zhou, Shuaijun

AU - Chen, Jingan

AU - Lam, Edmund Y.

AU - Ke, Jun

PY - 2024

Y1 - 2024

N2 - The imaging quality of single pixel imaging in atmospheric turbulence is enhanced by combining a deep learning model with classical methods. The effectiveness of this method was confirmed by optical experiments.

AB - The imaging quality of single pixel imaging in atmospheric turbulence is enhanced by combining a deep learning model with classical methods. The effectiveness of this method was confirmed by optical experiments.

UR - http://www.scopus.com/inward/record.url?scp=85204880531&partnerID=8YFLogxK

U2 - 10.1364/COSI.2024.CF1B.5

DO - 10.1364/COSI.2024.CF1B.5

M3 - Paper

AN - SCOPUS:85204880531

T2 - Computational Optical Sensing and Imaging, COSI 2024 - Part of Optica Imaging Congress

Y2 - 15 July 2024 through 19 July 2024

ER -

Enhanced Single Pixel Imaging in Atmospheric Turbulence

Abstract

Conference

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