190 citations · 1.2k across the 44 of their papers we have counts for
4 papers · 2 filters
Deep Graph-Convolutional Image Denoising
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Non-local self-similarity is well-known to be an effective prior for the image denoising problem. However, little work has been done to incorporate it in convolutional neural netwo…
High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction
Diego Valsesia, Enrico Magli
Compression of hyperspectral images onboard of spacecrafts is a tradeoff between the limited computational resources and the ever-growing spatial and spectral resolution of the opt…
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro +1
Recently, convolutional neural networks (CNN) have been successfully applied to many remote sensing problems. However, deep learning techniques for multi-image super-resolution fro…
Image Denoising with Graph-Convolutional Neural Networks
Diego Valsesia, Giulia Fracastoro, Enrico Magli
Recovering an image from a noisy observation is a key problem in signal processing. Recently, it has been shown that data-driven approaches employing convolutional neural networks…