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Parallel computational ghost imaging with modulation patterns multiplexing and permutation inspired by compound eyes

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Parallel computational ghost imaging with modulation patterns multiplexing and permutation inspired by compound eyes. / Ma, Mengchao; Shen, Yinran; Zha, Peiyuan et al.
In: Applied Physics Letters, Vol. 124, No. 7, 071110, 12.02.2024.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Ma, M, Shen, Y, Zha, P, Guan, Q, Zhong, X, Deng, H, Zhang, X & Wang, Z 2024, 'Parallel computational ghost imaging with modulation patterns multiplexing and permutation inspired by compound eyes', Applied Physics Letters, vol. 124, no. 7, 071110. https://doi.org/10.1063/5.0187882

APA

Ma, M., Shen, Y., Zha, P., Guan, Q., Zhong, X., Deng, H., Zhang, X., & Wang, Z. (2024). Parallel computational ghost imaging with modulation patterns multiplexing and permutation inspired by compound eyes. Applied Physics Letters, 124(7), Article 071110. https://doi.org/10.1063/5.0187882

Vancouver

Ma M, Shen Y, Zha P, Guan Q, Zhong X, Deng H et al. Parallel computational ghost imaging with modulation patterns multiplexing and permutation inspired by compound eyes. Applied Physics Letters. 2024 Feb 12;124(7):071110. doi: 10.1063/5.0187882

Author

Ma, Mengchao ; Shen, Yinran ; Zha, Peiyuan et al. / Parallel computational ghost imaging with modulation patterns multiplexing and permutation inspired by compound eyes. In: Applied Physics Letters. 2024 ; Vol. 124, No. 7.

Bibtex

@article{b50bec0953ab4b1187e2df362f65be43,
title = "Parallel computational ghost imaging with modulation patterns multiplexing and permutation inspired by compound eyes",
abstract = "Real-time computational ghost imaging (CGI) has received significant attention in recent years to overcome the trade-off between long acquisition time and high reconstructed image quality of CGI. Inspired by compound eyes, we propose a parallel computational ghost imaging with modulation patterns multiplexing and permutation to achieve a faster and high-resolution CGI. With modulation patterns multiplexing and permutation, several small overlapping fields-of-view can be obtained; meanwhile, the difficulty in alignment of illumination light field and multiple detectors can be well resolved. The method combining compound eyes with multi-detectors to capture light intensity can resolve the issue of a gap between detector units in the array detector. Parallel computation facilitates significantly reduced acquisition time, while maintaining reconstructed quality without compromising the sampling ratio. Experiments indicate that using m × m detectors reduce modulation pattern count, projector storage, and projection time to around 1/m2 of typical CGI methods, while increasing image resolution to m2 times. This work greatly promotes the practicability of parallel computational ghost imaging and provides optional solution for real-time computational ghost imaging.",
author = "Mengchao Ma and Yinran Shen and Peiyuan Zha and Qingtian Guan and Xiang Zhong and Huaxia Deng and Xuming Zhang and Ziwei Wang",
year = "2024",
month = feb,
day = "12",
doi = "10.1063/5.0187882",
language = "English",
volume = "124",
journal = "Applied Physics Letters",
issn = "0003-6951",
publisher = "American Institute of Physics Inc.",
number = "7",

}

RIS

TY - JOUR

T1 - Parallel computational ghost imaging with modulation patterns multiplexing and permutation inspired by compound eyes

AU - Ma, Mengchao

AU - Shen, Yinran

AU - Zha, Peiyuan

AU - Guan, Qingtian

AU - Zhong, Xiang

AU - Deng, Huaxia

AU - Zhang, Xuming

AU - Wang, Ziwei

PY - 2024/2/12

Y1 - 2024/2/12

N2 - Real-time computational ghost imaging (CGI) has received significant attention in recent years to overcome the trade-off between long acquisition time and high reconstructed image quality of CGI. Inspired by compound eyes, we propose a parallel computational ghost imaging with modulation patterns multiplexing and permutation to achieve a faster and high-resolution CGI. With modulation patterns multiplexing and permutation, several small overlapping fields-of-view can be obtained; meanwhile, the difficulty in alignment of illumination light field and multiple detectors can be well resolved. The method combining compound eyes with multi-detectors to capture light intensity can resolve the issue of a gap between detector units in the array detector. Parallel computation facilitates significantly reduced acquisition time, while maintaining reconstructed quality without compromising the sampling ratio. Experiments indicate that using m × m detectors reduce modulation pattern count, projector storage, and projection time to around 1/m2 of typical CGI methods, while increasing image resolution to m2 times. This work greatly promotes the practicability of parallel computational ghost imaging and provides optional solution for real-time computational ghost imaging.

AB - Real-time computational ghost imaging (CGI) has received significant attention in recent years to overcome the trade-off between long acquisition time and high reconstructed image quality of CGI. Inspired by compound eyes, we propose a parallel computational ghost imaging with modulation patterns multiplexing and permutation to achieve a faster and high-resolution CGI. With modulation patterns multiplexing and permutation, several small overlapping fields-of-view can be obtained; meanwhile, the difficulty in alignment of illumination light field and multiple detectors can be well resolved. The method combining compound eyes with multi-detectors to capture light intensity can resolve the issue of a gap between detector units in the array detector. Parallel computation facilitates significantly reduced acquisition time, while maintaining reconstructed quality without compromising the sampling ratio. Experiments indicate that using m × m detectors reduce modulation pattern count, projector storage, and projection time to around 1/m2 of typical CGI methods, while increasing image resolution to m2 times. This work greatly promotes the practicability of parallel computational ghost imaging and provides optional solution for real-time computational ghost imaging.

U2 - 10.1063/5.0187882

DO - 10.1063/5.0187882

M3 - Journal article

VL - 124

JO - Applied Physics Letters

JF - Applied Physics Letters

SN - 0003-6951

IS - 7

M1 - 071110

ER -