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JR2net: A Joint Non-Linear Representation and Recovery Network for
  Compressive Spectral Imaging
v1v2 (latest)

JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging

Applied Optics (Appl. Opt.), 2022
16 May 2022
Brayan Monroy
Jorge Bacca
Henry Arguello
    SupR
ArXiv (abs)PDFHTML

Papers citing "JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging"

4 / 4 papers shown
Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications
Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications
Brayan Monroy
Kebin Contreras
Jorge Bacca
142
2
0
05 Apr 2025
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral
  Image Generation with Variance Regularization
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization
Emmanuel Martinez
Roman Jacome
Alejandra Hernandez-Rojas
Henry Arguello
166
7
0
29 Apr 2023
Mixture-Net: Low-Rank Deep Image Prior Inspired by Mixture Models for
  Spectral Image Recovery
Mixture-Net: Low-Rank Deep Image Prior Inspired by Mixture Models for Spectral Image RecoverySignal Processing (Signal Process.), 2022
T. Gelvez-Barrera
Jorge Bacca
Henry Arguello
SupR
140
11
0
05 Nov 2022
D$^\text{2}$UF: Deep Coded Aperture Design and Unrolling Algorithm for
  Compressive Spectral Image Fusion
D2^\text{2}2UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image FusionIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Roman Jacome
Jorge Bacca
Henry Arguello
194
2
0
24 May 2022
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