17 citations · 20 across the 3 of their papers we have counts for
4 papers
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization
Marija Vella, Bowen Zhang, Wei Chen +1
Hyperspectral (HS) images contain detailed spectral information that has proven crucial in applications like remote sensing, surveillance, and astronomy. However, because of hardwa…
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging
Marija Vella, João F. C. Mota
The remarkable performance of deep neural networks (DNNs) currently makes them the method of choice for solving linear inverse problems. They have been applied to super-resolve and…
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization
Marija Vella, João F. C. Mota
Single-image super-resolution is the process of increasing the resolution of an image, obtaining a high-resolution (HR) image from a low-resolution (LR) one. By leveraging large tr…
Single Image Super-Resolution via CNN Architectures and TV-TV Minimization
Marija Vella, João F. C. Mota
Super-resolution (SR) is a technique that allows increasing the resolution of a given image. Having applications in many areas, from medical imaging to consumer electronics, severa…