Polarimetric imaging through scattering media: A review
Imaging in scattering media has been a challenging and important subject in optical
science. In scattering media, the image quality is often severely degraded by the scattering …
science. In scattering media, the image quality is often severely degraded by the scattering …
[HTML][HTML] Polarimetric imaging via deep learning: A review
Polarization can provide information largely uncorrelated with the spectrum and intensity.
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …
URNet: High-quality single-pixel imaging with untrained reconstruction network
J Li, B Wu, T Liu, Q Zhang - Optics and Lasers in Engineering, 2023 - Elsevier
High quality image reconstruction method is an important guarantee for the practical
application of single-pixel imaging (SPI). The supervised strategy-based deep learning SPI …
application of single-pixel imaging (SPI). The supervised strategy-based deep learning SPI …
Self-attention module in a multi-scale improved U-net (SAM-MIU-net) motivating high-performance polarization scattering imaging
B Lin, X Fan, Z Guo - Optics Express, 2023 - opg.optica.org
Polarization imaging has outstanding advantages in the field of scattering imaging, which
still encounters great challenges in heavy scattering media systems even though there are …
still encounters great challenges in heavy scattering media systems even though there are …
Dynamic polarization fusion network (DPFN) for imaging in different scattering systems
B Lin, X Fan, P Peng, Z Guo - Optics Express, 2023 - opg.optica.org
Deep learning has broad applications in imaging through scattering media. Polarization, as
a distinctive characteristic of light, exhibits superior stability compared to light intensity within …
a distinctive characteristic of light, exhibits superior stability compared to light intensity within …
Polarization image fusion with self-learned fusion strategy
Polarization image fusion aims to integrate intensity and degree of linear polarization
images into one with more details, which is beneficial to improve the ability of targets …
images into one with more details, which is beneficial to improve the ability of targets …
High-performance polarization remote sensing with the modified U-net based deep-learning network
D Li, B Lin, X Wang, Z Guo - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
The existing scattering medium has a serious impact on the optical remote sensing. It is a
challenge and urgent problem to extract the original target's information influenced by …
challenge and urgent problem to extract the original target's information influenced by …
U2R-pGAN: Unpaired underwater-image recovery with polarimetric generative adversarial network
Polarimetric imaging has prominent advantages in scattering media. Emerging learning-
based polarimetric technologies has succeeded but heavily relied on paired data …
based polarimetric technologies has succeeded but heavily relied on paired data …
Polarization motivating high-performance weak targets' imaging based on a dual-discriminator GAN
H Zhou, X Zeng, B Lin, D Li, SA Ali Shah, B Liu… - Optics …, 2024 - opg.optica.org
High-level detection of weak targets under bright light has always been an important yet
challenging task. In this paper, a method of effectively fusing intensity and polarization …
challenging task. In this paper, a method of effectively fusing intensity and polarization …
TSMPN-PSI: high-performance polarization scattering imaging based on three-stage multi-pipeline networks
Polarization imaging, which provides multidimensional information beyond traditional
intensity imaging, has prominent advantages for complex imaging tasks, particularly in …
intensity imaging, has prominent advantages for complex imaging tasks, particularly in …