research
∙
06/13/2021
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization
Hyperspectral (HS) images contain detailed spectral information that has...
research
∙
11/29/2020
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging
The remarkable performance of deep neural networks (DNNs) currently make...
research
∙
04/02/2020
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization
Single-image super-resolution is the process of increasing the resolutio...
research
∙
07/11/2019