Deep coded aperture design: An end-to-end approach for computational imaging tasks
J Bacca, T Gelvez-Barrera… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Covering from photography to depth and spectral estimation, diverse computational imaging
(CI) applications benefit from the versatile modulation of coded apertures (CAs). The …
(CI) applications benefit from the versatile modulation of coded apertures (CAs). The …
DUF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion
Compressive spectral imaging (CSI) has attracted significant attention since it employs
synthetic apertures to codify spatial and spectral information, sensing only 2D projections of …
synthetic apertures to codify spatial and spectral information, sensing only 2D projections of …
Joint nonlocal, spectral, and similarity low-rank priors for hyperspectral–multispectral image fusion
T Gelvez-Barrera, H Arguello… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The fusion of a low-spatial-and-high-spectral resolution hyperspectral image (HSI) with a
high-spatial-and-low-spectral resolution multispectral image (MSI) allows synthesizing a …
high-spatial-and-low-spectral resolution multispectral image (MSI) allows synthesizing a …
[HTML][HTML] LADMM-Net: An unrolled deep network for spectral image fusion from compressive data
JM Ramirez, JI Martínez-Torre, H Arguello - Signal Processing, 2021 - Elsevier
Image fusion aims at estimating a high-resolution spectral image from a low-spatial-
resolution hyperspectral image and a low-spectral-resolution multispectral image. In this …
resolution hyperspectral image and a low-spectral-resolution multispectral image. In this …
Hyperspectral and multispectral image fusion addressing spectral variability by an augmented linear mixing model
The fusion of hyperspectral (HS) and multispectral (MS) images with complementary high
spectral and high spatial resolution information has been successfully applied to improve …
spectral and high spatial resolution information has been successfully applied to improve …
Nonlocal low-rank plus deep denoising prior for robust image compressed sensing reconstruction
Y Li, L Gao, S Hu, G Gui, CY Chen - Expert Systems with Applications, 2023 - Elsevier
It is challenging for current compressive sensing (CS) approaches to reconstruct image from
compressed observations with impulsive noise and outliers, termed robust image CS …
compressed observations with impulsive noise and outliers, termed robust image CS …
Multiply complementary priors for image compressive sensing reconstruction in impulsive noise
Y Li, F Xiao, W Liang, L Gui - ACM Transactions on Multimedia …, 2024 - dl.acm.org
Impulsive noise is always present in real-world image Compressive Sensing (CS)
acquisition systems, where existing CS reconstruction performance may seriously …
acquisition systems, where existing CS reconstruction performance may seriously …
Multi-Sensor Image Feature Fusion via Subspace-Based Approach Using -Gradient Regularization
Image fusion is a technique of combining two or more images into a single image which is
more informative from an interpretation point of view. With the rapid development of different …
more informative from an interpretation point of view. With the rapid development of different …
Compressive spectral image fusion via a single aperture high throughput imaging system
H Rueda-Chacon, F Rojas, H Arguello - Scientific Reports, 2021 - nature.com
Spectral image fusion techniques combine the detailed spatial information of a multispectral
(MS) image and the rich spectral information of a hyperspectral (HS) image into a high …
(MS) image and the rich spectral information of a hyperspectral (HS) image into a high …
Mixture-net: Low-rank deep image prior inspired by mixture models for spectral image recovery
This paper proposes a non-data-driven deep neural network for spectral image recovery
problems such as denoising, single hyperspectral image super-resolution, and compressive …
problems such as denoising, single hyperspectral image super-resolution, and compressive …