High-quality and high-diversity conditionally generative ghost imaging based on denoising diffusion probabilistic model
S Mao, Y He, H Chen, H Zheng, J Liu, Y Yuan, M Le… - Optics …, 2023 - opg.optica.org
Deep-learning (DL) methods have gained significant attention in ghost imaging (GI) as
promising approaches to attain high-quality reconstructions with limited sampling rates …
promising approaches to attain high-quality reconstructions with limited sampling rates …
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 …
conventional focal plane array detectors. However, the limited image quality and lengthy …
Enhancing single-pixel imaging reconstruction using hybrid transformer network with adaptive feature refinement
Single-pixel imaging (SPI) is a novel imaging technique that applies to acquiring spatial
information under low light, high absorption, and backscattering conditions. The existing …
information under low light, high absorption, and backscattering conditions. The existing …
High-quality direct ghost imaging of random dynamic targets based on convolutional neural network
Q Liu, LF Yin, HD Zhan, YQ Lu, LY Zhu, XW Long… - Optics & Laser …, 2024 - Elsevier
We propose a novel high-quality direct random dynamic target ghost imaging method,
based on Convolutional Neural Networks (CNNs). This method requires input of one …
based on Convolutional Neural Networks (CNNs). This method requires input of one …
Bringing Grayscale to Ghost Translation
ZD Bottorff - 2023 - oaktrust.library.tamu.edu
In recent decades, physicists developed ghost imaging, which is an alternative technique to
the conventional imaging used everywhere by cameras. Ghost imaging was given its name …
the conventional imaging used everywhere by cameras. Ghost imaging was given its name …