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20182023
most citedComputational Spectral Imaging: A Contemporary Overview

65 citations · 269 across the 30 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.IT2023

Octonion Phase Retrieval

Roman Jacome, Kumar Vijay Mishra, Brian M. Sadler +1

Signal processing over hypercomplex numbers arises in many optical imaging applications. In particular, spectral image or color stereo data are often processed using octonion algeb…

eess.IV2023

Mask-guided Data Augmentation for Multiparametric MRI Generation with a Rare Hepatocellular Carcinoma

Karen Sanchez, Carlos Hinojosa, Kevin Arias +4

Data augmentation is classically used to improve the overall performance of deep learning models. It is, however, challenging in the case of medical applications, and in particular…

cs.CY2023★ 4 cited

AgroTIC: Bridging the gap between farmers, agronomists, and merchants through smartphones and machine learning

Carlos Hinojosa, Karen Sanchez, Ariolfo Camacho +1

In recent years, fast technological advancements have led to the development of high-quality software and hardware, revolutionizing various industries such as the economy, health,…

cs.CV2023

LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization

Emmanuel Martinez, Roman Jacome, Alejandra Hernandez-Rojas +1

Deep learning methods are state-of-the-art for spectral image (SI) computational tasks. However, these methods are constrained in their performance since available datasets are lim…

cs.IT2023★ 65 cited

Computational Spectral Imaging: A Contemporary Overview

Jorge Bacca, Emmanuel Martinez, Henry Arguello

Spectral imaging collects and processes information along spatial and spectral coordinates quantified in discrete voxels, which can be treated as a 3D spectral data cube. The spect…

cs.IT2023

Multi-Antenna Dual-Blind Deconvolution for Joint Radar-Communications via SoMAN Minimization

Roman Jacome, Edwin Vargas, Kumar Vijay Mishra +2

In joint radar-communications (JRC) applications such as secure military receivers, often the radar and communications signals are overlaid in the received signal. In these passive…