Miguel Marquez
Miguel Marquez
Ph.D. Student in Physics
Verified email at correo.uis.edu.co - Homepage
Title
Cited by
Cited by
Year
Bayesian 3D reconstruction of subsampled multispectral single-photon Lidar signals
J Tachella, Y Altmann, M Márquez, H Arguello-Fuentes, JY Tourneret, ...
IEEE Transactions on Computational Imaging 6, 208-220, 2019
82019
Compressive spectral imaging via deformable mirror and colored-mosaic detector
M Marquez, P Meza, H Arguello, E Vera
Optics Express 27 (13), 17795-17808, 2019
62019
Compressive spectral image super-resolution by using singular value decomposition
M Marquez, Y Mejia, H Arguello
Optics Communications 404, 163-168, 2017
62017
Compressive computed tomography image reconstruction by using the analysis of the internal structure of an object
A Jerez, M Márquez, H Arguello
2016 XXI Symposium on Signal Processing, Images and Artificial Vision …, 2016
62016
Compressive spectral light field image reconstruction via online tensor representation
M Marquez, H Rueda-Chacon, H Arguello
IEEE Transactions on Image Processing 29, 3558-3568, 2020
52020
Coded aperture optimization for single pixel compressive computed tomography
M Marquez, H Arguello
Journal of Computational and Applied Mathematics 348, 58-69, 2019
52019
Desarrollo humano y adelanto científico y tecnológico en la sociedad del conocimiento y de la información
C López, M Márquez, F Rojas
Revista Latinoamericana de Desarrollo Humano, 9-12, 2006
52006
Data sinogram sparse reconstruction based on steering kernel regression and filtering strategies
MA Marquez, E Mojica, H Arguello
Anomaly Detection and Imaging with X-Rays (ADIX) 9847, 98470Z, 2016
32016
Design of a compressive sampling strategy in a computed tomography cone-beam architecture
H Maldonado, M Márquez, H Arguello
2016 XXI Symposium on Signal Processing, Images and Artificial Vision …, 2016
22016
Snapshot compressive spectral depth imaging from coded aberrations
M Marquez, P Meza, F Rojas, H Arguello, E Vera
Optics Express 29 (6), 8142-8159, 2021
12021
Adaptive coded aperture design for compressive computed tomography
A Jerez, M Márquez, H Arguello
Journal of Computational and Applied Mathematics 384, 113174, 2021
12021
Compressive light field spectral imaging in a single-sensor device by using coded apertures
M Marquez, N Diaz, J Bacca, S Pertuz, H Arguello
Computational Optical Sensing and Imaging, CTh1B. 5, 2017
12017
A method for improving depth estimation in light field images
J Santamaría, MA Marquez, S Pertuz
2016 XXI Symposium on Signal Processing, Images and Artificial Vision …, 2016
12016
Compressive spectral imaging via virtual side information
M Marquez, H Rueda-Chacon, H Arguello
IEEE Transactions on Computational Imaging 7, 114-123, 2021
2021
Snapshot compressive spectral video via a monocular optical system
D Morales, P Arguello, M Márquez, H Arguello
2020 IEEE Colombian Conference on Applications of Computational Intelligence …, 2020
2020
Testbed implementation of a tensor-based compressive spectral imaging via angular decoupling
M Marquez, H Rueda, F Rojas, H Arguello
Imaging Systems and Applications, JW2A. 31, 2020
2020
Compressive depth spectral image estimation from aberrations and colored-mosaic detector
M Marquez, E Vera, H Arguello, P Meza
Computational Optical Sensing and Imaging, JW2A. 32, 2020
2020
Super-Resolution in Compressive Coded Imaging Systems via l2–l1–l2 Minimization Under a Deep Learning Approach
H Garcia, M Marquez, H Arguello
2020 Data Compression Conference (DCC), 53-62, 2020
2020
A Novel Multiframe Compressive Spectral Imaging Architecture
M Marquez, P Meza, H Arguello, E Vera
Imaging Systems and Applications, JW2A. 22, 2019
2019
Snapshot Compressive Spectral Light Field Tensor Imaging
M Marquez, H Rueda, E Vera, H Arguello
Computational Optical Sensing and Imaging, CTu2A. 6, 2019
2019
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