Computational ghost imaging with key-patterns for image encryption

C Xu, D Li, K Guo, Z Yin, Z Guo - Optics Communications, 2023 - Elsevier
Here, we propose an encryption scheme by computational ghost imaging (CGI), and the
transmitting data have been hidden in the illumination patterns. The sender uses a set of key …

On ghost imaging studies for information optical imaging

C Hu, S Han - Applied Sciences, 2022 - mdpi.com
Since the birth of information theory, to understand, study, and optimize optical imaging
systems from the information–theoretic viewpoint has been an important research subfield of …

High-performance deep-learning based polarization computational ghost imaging with random patterns and orthonormalization

C Xu, D Li, X Fan, B Lin, K Guo, Z Yin, Z Guo - Physica Scripta, 2023 - iopscience.iop.org
Polarization computational ghost imaging (PCGI) often requires a large number of samples
to reconstruct the targets, which can be optimized by reducing sampling rates with the aids …

Computational ghost imaging in turbulent water based on self-supervised information extraction network

Y Chen, Z Sun, C Li, X Li - Optics & Laser Technology, 2023 - Elsevier
In this study, we proposed an underwater ghost imaging (GI) method based on a self-
supervised information extraction network (IEGI), which comprises two modules: speckle …

Progress and applications of ghost imaging with classical sources: a brief review

W Liu, W Gong, Z Liu, S Sun, Z Nie - Chinese Optics Letters, 2024 - opg.optica.org
Study on optical correlation function initiates the development of many quantum techniques,
with ghost imaging (GI) being one of the great achievements. Upon the first demonstration …

Optimized sinusoidal patterns for high-performance computational ghost imaging

W Yu, D Li, K Guo, Z Yin, Z Guo - Applied Optics, 2023 - opg.optica.org
Computational ghost imaging (CGI) can reconstruct scene images by two-order correlation
between sampling patterns and detected intensities from a bucket detector. By increasing …

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 …

Low sampling high quality image reconstruction and segmentation based on array network ghost imaging

X Liu, T Han, C Zhou, J Huang, M Ju, B Xu, L Song - Optics Express, 2023 - opg.optica.org
High-quality imaging under low sampling time is an important step in the practical
application of computational ghost imaging (CGI). At present, the combination of CGI and …

Real-time physical compression computational ghost imaging based on array spatial light field modulation and deep learning

C Zhou, X Liu, Y Feng, X Li, G Wang, H Sun… - Optics and Lasers in …, 2022 - Elsevier
Ghost imaging has great application potential in remote sensing observation and biomedical
due to the use of a single pixel detector for imaging, which makes it easy to imaging in low …

Color ghost imaging through the scattering media based on A-cGAN

H Liu, Y Chen, L Zhang, DH Li, X Li - Optics Letters, 2022 - opg.optica.org
Ghost imaging plays an important role in the field of optical imaging. To realize color ghost
imaging through the scattering media, we propose a deep learning method with high …