In this Letter, we report on high-contrast gradient ghost imaging (GGI) through dynamic and complex scattering media for edge detection. By introducing a reference beam in the designed setup to correct dynamic change of scaling factors induced by dynamic and complex scattering media, the mismatches between illumination patterns and single-pixel intensity measurements can be corrected. Then, edge information of a sample can be obtained through dynamic and complex scattering media with dual single-pixel detections. The proposed scheme can implement direct edge detection without any postprocessing. It is experimentally verified that the proposed method can realize high-contrast GGI of unknown objects through various dynamic and complex scattering media where conventional schemes cannot work. Our experimental results suggest that the proposed method broadens and deepens the GGI, offering a potential for edge detection in diverse applications.
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11 September 2023
Research Article|
September 11 2023
Edge detection in gradient ghost imaging through complex media
Lina Zhou
;
Lina Zhou
(Conceptualization, Investigation, Writing – original draft)
1
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University
, Hong Kong, China
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Yin Xiao
;
Yin Xiao
(Investigation)
1
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University
, Hong Kong, China
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Wen Chen
Wen Chen
a)
(Conceptualization, Methodology, Supervision, Writing – review & editing)
1
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University
, Hong Kong, China
2
Photonics Research Institute, The Hong Kong Polytechnic University
, Hong Kong, China
a)Author to whom correspondence should be addressed: owen.chen@polyu.edu.hk
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a)Author to whom correspondence should be addressed: owen.chen@polyu.edu.hk
Appl. Phys. Lett. 123, 111104 (2023)
Article history
Received:
July 09 2023
Accepted:
August 27 2023
Citation
Lina Zhou, Yin Xiao, Wen Chen; Edge detection in gradient ghost imaging through complex media. Appl. Phys. Lett. 11 September 2023; 123 (11): 111104. https://doi.org/10.1063/5.0166946
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