65 citations · 135 across the 14 of their papers we have counts for
5 papers · 1 filter
Deep Scene-Driven Ordering of Hadamard Basis for Single-Pixel Spectral Imaging
Brayan Monroy, Hans Garcia, Henry Arguello +1
Spectral images are highly valuable for various applications, including environmental monitoring and precision agriculture. However, the high cost of specialized sensors limits the…
DUF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion
Roman Jacome, Jorge Bacca, Henry Arguello
Compressive spectral imaging (CSI) has attracted significant attention since it employs synthetic apertures to codify spatial and spectral information, sensing only 2D projections…
JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging
Brayan Monroy, Jorge Bacca, Henry Arguello
Deep learning models are state-of-the-art in compressive spectral imaging (CSI) recovery. These methods use a deep neural network (DNN) as an image generator to learn non-linear ma…
Compressive Spectral Image Reconstruction using Deep Prior and Low-Rank Tensor Representation
Jorge Bacca, Yesid Fonseca, Henry Arguello
Compressive spectral imaging (CSI) has emerged as an alternative spectral image acquisition technology, which reduces the number of measurements at the cost of requiring a recovery…
Exact Crystalline Structure Recovery in X-ray Crystallography from Coded Diffraction Patterns
Samuel Pinilla, Jorge Bacca, Cesar Vargas +2
X-ray crystallography (XC) is an experimental technique used to determine three-dimensional crystalline structures. The acquired data in XC, called diffraction patterns, is the Fou…