Artikel dengan mandat akses publik - Henry ArguelloPelajari lebih lanjut
Tidak tersedia di mana pun: 12
Spectral image classification from optimal coded-aperture compressive measurements
A Ramirez, H Arguello, GR Arce, BM Sadler
IEEE 52 (6), 3299-3309, 2014
Mandat: National Natural Science Foundation of China
Deep optical coding design in computational imaging: a data-driven framework
H Arguello, J Bacca, H Kariyawasam, E Vargas, M Marquez, ...
IEEE Signal Processing Magazine 40 (2), 75-88, 2023
Mandat: US Department of Defense, US National Institutes of Health, Research Council …
Shifting colored coded aperture design for spectral imaging
L Galvis, E Mojica, H Arguello, GR Arce
Applied optics 58 (7), B28-B38, 2019
Mandat: US National Science Foundation
Banraw: Band-limited radar waveform design via phase retrieval
S Pinilla, KV Mishra, BM Sadler, H Arguello
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Mandat: US Department of Defense
Single pixel near-infrared imaging for spectral classification
J Bacca, M Marquez, H Arguello
Computational Optical Sensing and Imaging, CW1B. 2, 2022
Mandat: US Department of Defense
Non-linear propagation model learning for coded aperture snapshot spectral imaging
J Escobar, J Bacca, H Arguello
Computational Optical Sensing and Imaging, CW4B. 2, 2022
Mandat: US Department of Defense
Invariant coded aperture design for compressive imaging
J Bacca, T Gelvez-Barrera, H Arguello
Adaptive Optics and Applications, JTh2A. 9, 2022
Mandat: US Department of Defense
Fast matrix inversion in compressive spectral imaging based on a tensorial representation
M Carlsson, E Martinez, E Vargas, H Arguello
Journal of Electronic Imaging 33 (1), 013034-013034, 2024
Mandat: Swedish Research Council
Encoded Diffractive Optics for Hyperspectral Imaging
H Arguello, L Galvis, J Bacca, E Vargas
Coded Optical Imaging, 593-606, 2023
Mandat: US Department of Energy
Data-Driven Optical Coding Optimization in Computational Imaging
H Arguello, J Bacca
Computational Optical Sensing and Imaging, CW4B. 1, 2022
Mandat: US Department of Defense
Optimal Colored Coded Apertures for Compressive Spectral Imaging Systems
H Rueda, H Arguello, GR Arce
Computational Optical Sensing and Imaging, JTu5A. 25, 2017
Mandat: US National Science Foundation
Development of a Compressive Spectral Testbed based on Thin-film Color-patterned Filter Array
H Rueda, H Arguello, GR Arce
Computational Optical Sensing and Imaging, CW5D. 3, 2016
Mandat: US National Science Foundation
Tersedia di suatu tempat: 31
Spatiotemporal blue noise coded aperture design for multi-shot compressive spectral imaging
CV Correa, H Arguello, GR Arce
Journal of the Optical Society of America A 33 (12), 2312-2322, 2016
Mandat: US National Science Foundation
Shift-variant color-coded diffractive spectral imaging system
H Arguello, S Pinilla, Y Peng, H Ikoma, J Bacca, G Wetzstein
Optica 8 (11), 1424-1434, 2021
Mandat: US National Science Foundation, US Department of Defense
Deep coded aperture design: An end-to-end approach for computational imaging tasks
J Bacca, T Gelvez-Barrera, H Arguello
IEEE Transactions on Computational Imaging 7, 1148-1160, 2021
Mandat: Academy of Finland
Coded aperture design in compressive spectral imaging based on side information
L Galvis, D Lau, X Ma, H Arguello, GR Arce
Applied optics 56 (22), 6332-6340, 2017
Mandat: US National Science Foundation
Aplicaciones y retos del sensado remoto hiperespectral en la geología colombiana
A Camacho-Velasco, CA Vargas-García, FA Rojas-Morales, ...
Revista Facultad de Ingeniería 24 (40), 17-29, 2015
Mandat: US National Aeronautics and Space Administration
Time-multiplexed coded aperture imaging: Learned coded aperture and pixel exposures for compressive imaging systems
E Vargas, JNP Martel, G Wetzstein, H Arguello
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Mandat: US National Science Foundation, Swiss National Science Foundation
Compressive spectral testbed imaging system based on thin-film color-patterned filter arrays
H Rueda, H Arguello, GR Arce
Applied Optics 55 (33), 9584-9593, 2016
Mandat: US National Science Foundation
LADMM-Net: An unrolled deep network for spectral image fusion from compressive data
JM Ramirez, JI Martínez-Torre, H Arguello
Signal Processing 189, 108239, 2021
Mandat: European Commission
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