16 citations · 20 across the 18 of their papers we have counts for
5 papers · 1 filter
GSNR: Graph Smooth Null-Space Representation for Inverse Problems
Romario Gualdrón-Hurtado, Roman Jacome, Rafael S. Suarez +1
Inverse problems in imaging are ill-posed, leading to infinitely many solutions consistent with the measurements due to the non-trivial null-space of the sensing matrix. Common ima…
NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems
Roman Jacome, Romario Gualdrón-Hurtado, Leon Suarez +1
Imaging inverse problems aim to recover high-dimensional signals from undersampled, noisy measurements, a fundamentally ill-posed task with infinite solutions in the null-space of…
DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction
Leon Suarez-Rodriguez, Roman Jacome, Romario Gualdron-Hurtado +2
Sparse-view computed tomography (CT) reconstruction is fundamentally challenging due to undersampling, leading to an ill-posed inverse problem. Traditional iterative methods incorp…
Highly Constrained Coded Aperture Imaging Systems Design Via a Knowledge Distillation Approach
Leon Suarez-Rodriguez, Roman Jacome, Henry Arguello
Computational optical imaging (COI) systems have enabled the acquisition of high-dimensional signals through optical coding elements (OCEs). OCEs encode the high-dimensional signal…
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…