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

Ma, Mengchao and Shen, Yinran and Zha, Peiyuan and Guan, Qingtian and Zhong, Xiang and Deng, Huaxia and Zhang, Xuming and Wang, Ziwei (2024) Parallel computational ghost imaging with modulation patterns multiplexing and permutation inspired by compound eyes. Applied Physics Letters, 124 (7): 071110. ISSN 0003-6951

[thumbnail of APL23-AR-11406]
Text (APL23-AR-11406)
APL23-AR-11406.pdf - Accepted Version
Available under License Creative Commons Attribution.

Download (1MB)

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.

Item Type:
Journal Article
Journal or Publication Title:
Applied Physics Letters
Uncontrolled Keywords:
Research Output Funding/no_not_funded
Subjects:
?? no - not fundednophysics and astronomy (miscellaneous) ??
ID Code:
214766
Deposited By:
Deposited On:
16 Feb 2024 10:30
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Nov 2024 01:17