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Henry Arguello

Showing results (11-20 of 46) with videos related to

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Applied Optics|March 16, 2019
Supervised spatio-spectral classification of fused images using superpixelsKaren Sanchez, Carlos Hinojosa, Henry Arguello
Applied Optics|August 18, 2018
Adaptive filter design via a gradient thresholding algorithm for compressive spectral imagingNelson Diaz, Hoover Rueda, Henry Arguello
Applied Optics|March 25, 2022
Learning spectral initialization for phase retrieval via deep neural networksDavid Morales, Andrés Jerez, Henry Arguello
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|May 3, 2023
Computational spectral imaging: a contemporary overviewJorge Bacca, Emmanuel Martinez, Henry Arguello
Applied Optics|May 13, 2021
Compressive spectral image reconstruction using deep prior and low-rank tensor representationJorge Bacca, Yesid Fonseca, Henry Arguello
Applied Optics|March 10, 2021
High-resolution coded aperture optimization for super-resolved compressive x-ray cone-beam computed tomographyEdson Mojica, Claudia V Correa, Henry Arguello
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|September 15, 2015
DMD-based implementation of patterned optical filter arrays for compressive spectral imagingHoover Rueda, Henry Arguello, Gonzalo R Arce
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 16, 2020
Compressive Spectral Light Field Image Reconstruction via Online Tensor RepresentationMiguel Marquez, Hoover Rueda-Chacon, Henry Arguello
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 25, 2019
Sensing Matrix Design for Compressive Spectral Imaging via Binary Principal Component AnalysisJonathan Monsalve, Hoover Rueda-Chacon, Henry Arguello
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 21, 2020
Online Tensor Sparsifying Transform based on Temporal Superpixels from Compressive Spectral Video MeasurementsKareth M Leon-Lopez, Henry Arguello Fuentes
Pageof 5

Showing results (11-20 of 46) with videos related to

Sort By:
Pageof 5
Applied Optics|March 16, 2019
Supervised spatio-spectral classification of fused images using superpixelsKaren Sanchez, Carlos Hinojosa, Henry Arguello
Applied Optics|August 18, 2018
Adaptive filter design via a gradient thresholding algorithm for compressive spectral imagingNelson Diaz, Hoover Rueda, Henry Arguello
Applied Optics|March 25, 2022
Learning spectral initialization for phase retrieval via deep neural networksDavid Morales, Andrés Jerez, Henry Arguello
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|May 3, 2023
Computational spectral imaging: a contemporary overviewJorge Bacca, Emmanuel Martinez, Henry Arguello
Applied Optics|May 13, 2021
Compressive spectral image reconstruction using deep prior and low-rank tensor representationJorge Bacca, Yesid Fonseca, Henry Arguello
Applied Optics|March 10, 2021
High-resolution coded aperture optimization for super-resolved compressive x-ray cone-beam computed tomographyEdson Mojica, Claudia V Correa, Henry Arguello
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|September 15, 2015
DMD-based implementation of patterned optical filter arrays for compressive spectral imagingHoover Rueda, Henry Arguello, Gonzalo R Arce
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 16, 2020
Compressive Spectral Light Field Image Reconstruction via Online Tensor RepresentationMiguel Marquez, Hoover Rueda-Chacon, Henry Arguello
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 25, 2019
Sensing Matrix Design for Compressive Spectral Imaging via Binary Principal Component AnalysisJonathan Monsalve, Hoover Rueda-Chacon, Henry Arguello
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 21, 2020
Online Tensor Sparsifying Transform based on Temporal Superpixels from Compressive Spectral Video MeasurementsKareth M Leon-Lopez, Henry Arguello Fuentes
Pageof 5