Self-optimizing ghost imaging with a genetic algorithm

Baolei Liu; Xuchen Shan; Jianfeng Zhu; Chaohao Chen; Yongtao Liu; Fan Wang; David McGloin

doi:10.1364/CLEOPR.2020.C1G_3

Self-optimizing ghost imaging with a genetic algorithm

Baolei Liu, Xuchen Shan, Jianfeng Zhu, Chaohao Chen, Yongtao Liu, Fan Wang, David McGloin

Physics

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

1 Citation (Scopus)

Abstract

To simplify the reconstruction algorithms in ghost imaging, we present a feedback-based approach to reduce reconstruction times. We introduce a genetic algorithm to optimize the illumination patterns in real-time to match with the object's shape.

Original language	English
Title of host publication	2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9780646825045
DOIs	https://doi.org/10.1364/CLEOPR.2020.C1G_3
Publication status	Published - Aug 2020
Event	2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020 - Sydney, Australia Duration: 3 Aug 2020 → 5 Aug 2020

Conference

Conference	2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020
Country/Territory	Australia
City	Sydney
Period	3/08/20 → 5/08/20

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10.1364/CLEOPR.2020.C1G_3

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Liu, B, Shan, X, Zhu, J, Chen, C, Liu, Y, Wang, F & McGloin, D 2020, Self-optimizing ghost imaging with a genetic algorithm. in 2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020 - Proceedings., 9256034, Institute of Electrical and Electronics Engineers Inc., 2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020, Sydney, Australia, 3/08/20. https://doi.org/10.1364/CLEOPR.2020.C1G_3

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title = "Self-optimizing ghost imaging with a genetic algorithm",

abstract = "To simplify the reconstruction algorithms in ghost imaging, we present a feedback-based approach to reduce reconstruction times. We introduce a genetic algorithm to optimize the illumination patterns in real-time to match with the object's shape.",

author = "Baolei Liu and Xuchen Shan and Jianfeng Zhu and Chaohao Chen and Yongtao Liu and Fan Wang and David McGloin",

note = "Publisher Copyright: {\textcopyright} 2019 The Author(s) ; 2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020 ; Conference date: 03-08-2020 Through 05-08-2020",

year = "2020",

month = aug,

doi = "10.1364/CLEOPR.2020.C1G_3",

language = "English",

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T1 - Self-optimizing ghost imaging with a genetic algorithm

AU - Liu, Baolei

AU - Shan, Xuchen

AU - Zhu, Jianfeng

AU - Chen, Chaohao

AU - Liu, Yongtao

AU - Wang, Fan

AU - McGloin, David

PY - 2020/8

Y1 - 2020/8

N2 - To simplify the reconstruction algorithms in ghost imaging, we present a feedback-based approach to reduce reconstruction times. We introduce a genetic algorithm to optimize the illumination patterns in real-time to match with the object's shape.

AB - To simplify the reconstruction algorithms in ghost imaging, we present a feedback-based approach to reduce reconstruction times. We introduce a genetic algorithm to optimize the illumination patterns in real-time to match with the object's shape.

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U2 - 10.1364/CLEOPR.2020.C1G_3

DO - 10.1364/CLEOPR.2020.C1G_3

M3 - Published conference contribution

AN - SCOPUS:85098047767

BT - 2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020

Y2 - 3 August 2020 through 5 August 2020

ER -

Self-optimizing ghost imaging with a genetic algorithm

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