Advances and Challenges of Single‐Pixel Imaging Based on Deep Learning

K Song, Y Bian, D Wang, R Li, K Wu… - Laser & Photonics …, 2024 - Wiley Online Library
Single‐pixel imaging technology can capture images at wavelengths outside the reach of
conventional focal plane array detectors. However, the limited image quality and lengthy …

VGenNet: variable generative prior enhanced single pixel imaging

X Zhang, C Deng, C Wang, F Wang, G Situ - ACS Photonics, 2023 - ACS Publications
Single-pixel imaging (SPI) is an emerging imaging methodology that converts a two-or even
three-dimensional image acquisition problem into a one-dimensional (1D) temporal-signal …

Steganographic optical image encryption based on single-pixel imaging and an untrained neural network

S Lin, X Wang, A Zhu, J Xue, B Xu - Optics Express, 2022 - opg.optica.org
We propose a steganographic optical image encryption based on single-pixel imaging (SPI)
and an untrained neural network. In this encryption scheme, random binary illumination …

[HTML][HTML] Untrained deep learning-based fringe projection profilometry

H Yu, B Han, L Bai, D Zheng, J Han - APL photonics, 2022 - pubs.aip.org
Deep learning-based fringe projection profilometry (FPP) shows potential for challenging
three-dimensional (3D) reconstruction of objects with dynamic motion, complex surface, and …

High-fidelity and high-robustness free-space ghost transmission in complex media with coherent light source using physics-driven untrained neural network

Y Peng, Y **ao, W Chen - Optics Express, 2023 - opg.optica.org
It is well recognized that it is challenging to realize high-fidelity and high-robustness ghost
transmission through complex media in free space using coherent light source. In this paper …

Untrained deep learning-based phase retrieval for fringe projection profilometry

H Yu, X Chen, R Huang, L Bai, D Zheng… - Optics and Lasers in …, 2023 - Elsevier
Fringe projection profilometry (FPP) based on deep learning shows potential for challenging
3-D sensing tasks, eg, bio-medicine, reverse engineering, and face recognition, etc …

Surpassing the resolution limitation of structured illumination microscopy by an untrained neural network

Y He, Y Yao, Y He, Z Huang, F Luo, C Zhang… - Biomedical Optics …, 2022 - opg.optica.org
Structured illumination microscopy (SIM), as a flexible tool, has been widely applied to
observing subcellular dynamics in live cells. It is noted, however, that SIM still encounters a …

Prior-free imaging unknown target through unknown scattering medium

Y Shi, E Guo, L Bai, J Han - Optics Express, 2022 - opg.optica.org
Imaging through scattering medium based on deep learning has been extensively studied.
However, existing methods mainly utilize paired data-prior and lack physical-process fusion …

Research on mechanism of joint-coding imaging based on generative adversarial neural network

H Ye, D Guo - Optics and Lasers in Engineering, 2023 - Elsevier
In the previous research of ghost imaging schemes based on joint-coding technology, to
ensure the imaging quality, it is often carried out under the premise of full sampling or even …

Single-pixel imaging based on deep learning

K Song, Y Bian, K Wu, H Liu, S Han, J Li, J Tian… - arxiv preprint arxiv …, 2023 - arxiv.org
Single-pixel imaging can collect images at the wavelengths outside the reach of
conventional focal plane array detectors. However, the limited image quality and lengthy …