Advances and Challenges of Single‐Pixel Imaging Based on Deep Learning
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 …
conventional focal plane array detectors. However, the limited image quality and lengthy …
VGenNet: variable generative prior enhanced single pixel imaging
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 …
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
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 …
and an untrained neural network. In this encryption scheme, random binary illumination …
[HTML][HTML] Untrained deep learning-based fringe projection profilometry
Deep learning-based fringe projection profilometry (FPP) shows potential for challenging
three-dimensional (3D) reconstruction of objects with dynamic motion, complex surface, and …
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
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 …
transmission through complex media in free space using coherent light source. In this paper …
Untrained deep learning-based phase retrieval for fringe projection profilometry
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 …
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
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 …
observing subcellular dynamics in live cells. It is noted, however, that SIM still encounters a …
Prior-free imaging unknown target through unknown scattering medium
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 …
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 …
ensure the imaging quality, it is often carried out under the premise of full sampling or even …
Single-pixel imaging based on deep learning
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 …