[HTML][HTML] Polarimetric imaging via deep learning: A review

X Li, L Yan, P Qi, L Zhang, F Goudail, T Liu, J Zhai… - Remote Sensing, 2023 - mdpi.com
Polarization can provide information largely uncorrelated with the spectrum and intensity.
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …

Polarization image demosaicing and RGB image enhancement for a color polarization sparse focal plane array

J Liu, J Duan, Y Hao, G Chen, H Zhang, Y Zheng - Optics Express, 2023 - opg.optica.org
The color division of focal plane (DoFP) polarization sensor structure mostly uses Bayer filter
and polarization filter superimposed on each other, which makes the polarization imaging …

[PDF][PDF] Data-driven polarimetric imaging: a review

K Yang, F Liu, S Liang, M **ang, P Han, J Liu… - Opto-Electronic …, 2024 - researching.cn
This study reviews the recent advances in data-driven polarimetric imaging technologies
based on a wide range of practical applications. The widespread international research and …

Semantic-guided polarization image fusion method based on a dual-discriminator GAN

J Liu, J Duan, Y Hao, G Chen, H Zhang - Optics Express, 2022 - opg.optica.org
Polarization image fusion is the process of fusing an intensity image and a polarization
parameter image solved by Stokes vector into a more detailed image. Conventional …

U2R-pGAN: Unpaired underwater-image recovery with polarimetric generative adversarial network

P Qi, X Li, Y Han, L Zhang, J Xu, Z Cheng, T Liu… - Optics and Lasers in …, 2022 - Elsevier
Polarimetric imaging has prominent advantages in scattering media. Emerging learning-
based polarimetric technologies has succeeded but heavily relied on paired data …

Polarized image super-resolution via a deep convolutional neural network

H Hu, S Yang, X Li, Z Cheng, T Liu, J Zhai - Optics Express, 2023 - opg.optica.org
Reduced resolution of polarized images makes it difficult to distinguish detailed polarization
information and limits the ability to identify small targets and weak signals. A possible way to …

Learning a non-locally regularized convolutional sparse representation for joint chromatic and polarimetric demosaicking

Y Luo, J Zhang, J Shao, J Tian… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Division of focal plane color polarization camera becomes the mainstream in polarimetric
imaging for it directly captures color polarization mosaic image by one snapshot, so image …

Polarimetric image denoising on small datasets using deep transfer learning

H Hu, H **, H Liu, X Li, Z Cheng, T Liu, J Zhai - Optics & Laser Technology, 2023 - Elsevier
Although deep learning-based methods have achieved great success in various polarimetric
imaging tasks, the performance and the generalization ability are strongly dependent on …

UCRNet: Underwater color image restoration via a polarization-guided convolutional neural network

H Hu, Y Huang, X Li, L Jiang, L Che, T Liu… - Frontiers in Marine …, 2022 - frontiersin.org
Underwater images always suffer from low contrast and color distortion due to the
wavelength-dependent scattering and absorption effects caused by particles existing in …

Enhanced polarization demosaicking network via a precise angle of polarization loss calculation method

X Liu, X Li, SC Chen - Optics Letters, 2022 - opg.optica.org
Many existing polarization networks reconstruct polarization information based on
calculating the angle of polarization (AoP) loss. Yet, the conventional loss calculation …