most citedMixture-Net: Low-Rank Deep Image Prior Inspired by Mixture Models for Spectral Image Recovery

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 4 cited

Mixture-Net: Low-Rank Deep Image Prior Inspired by Mixture Models for Spectral Image Recovery

Tatiana Gelvez-Barrera, Jorge Bacca, Henry Arguello

This paper proposes a non-data-driven deep neural network for spectral image recovery problems such as denoising, single hyperspectral image super-resolution, and compressive spect…

math.OC2021

Deep Coded Aperture Design: An End-to-End Approach for Computational Imaging Tasks

Jorge Bacca, Tatiana Gelvez, Henry Arguello

Covering from photography to depth and spectral estimation, diverse computational imaging (CI) applications benefit from the versatile modulation of coded apertures (CAs). The ligh…