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

• Published in: Applied physics letters 2024-02, Vol.124 (7)
• Main Authors: Ma, Mengchao, Shen, Yinran, Zha, Peiyuan, Guan, Qingtian, Zhong, Xiang, Deng, Huaxia, Zhang, Xuming, Wang, Ziwei
• Format: Article
• Language: English
• Subjects: Computing time; Detectors; Ghosts; Image acquisition; Image quality; Image reconstruction; Image resolution; Luminous intensity; Modulation; Multiplexing; Parallel processing; Permutations; Real time; Sensors
• ISSN: 0003-6951; 1077-3118
• DOI: 10.1063/5.0187882

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.