[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 …
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 …
and polarization filter superimposed on each other, which makes the polarization imaging …
[PDF][PDF] Data-driven polarimetric imaging: a review
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 …
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 …
parameter image solved by Stokes vector into a more detailed image. Conventional …
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 …
Polarized image super-resolution via a deep convolutional neural network
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 …
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
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 …
imaging for it directly captures color polarization mosaic image by one snapshot, so image …
Polarimetric image denoising on small datasets using deep transfer learning
Although deep learning-based methods have achieved great success in various polarimetric
imaging tasks, the performance and the generalization ability are strongly dependent on …
imaging tasks, the performance and the generalization ability are strongly dependent on …
UCRNet: Underwater color image restoration via a polarization-guided convolutional neural network
Underwater images always suffer from low contrast and color distortion due to the
wavelength-dependent scattering and absorption effects caused by particles existing in …
wavelength-dependent scattering and absorption effects caused by particles existing in …
Enhanced polarization demosaicking network via a precise angle of polarization loss calculation method
Many existing polarization networks reconstruct polarization information based on
calculating the angle of polarization (AoP) loss. Yet, the conventional loss calculation …
calculating the angle of polarization (AoP) loss. Yet, the conventional loss calculation …