Compressive ghost imaging through scattering media with deep learning

Optics Express
Fengqiang LiOliver Cossairt

Abstract

Imaging through scattering media is challenging since the signal to noise ratio (SNR) of the reflection can be heavily reduced by scatterers. Single-pixel detectors (SPD) with high sensitivities offer compelling advantages for sensing such weak signals. In this paper, we focus on the use of ghost imaging to resolve 2D spatial information using just an SPD. We prototype a polarimetric ghost imaging system that suppresses backscattering from volumetric media and leverages deep learning for fast reconstructions. In this work, we implement ghost imaging by projecting Hadamard patterns that are optimized for imaging through scattering media. We demonstrate good quality reconstructions in highly scattering conditions using a 1.6% sampling rate.

References

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Citations

Oct 27, 2020·Applied Optics·Tong BianLu Gao
Mar 26, 2021·Scientific Reports·Hanqiu KangDuan Huang
May 15, 2021·Optics Express·Zhirun WangDong Wang
Jun 23, 2021·Optics Express·Antonio Lorente MurNicolas Ducros

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