50 citations · 112 across the 11 of their papers we have counts for
3 papers · 1 filter
Deep network series for large-scale high-dynamic range imaging
Amir Aghabiglou, Matthieu Terris, Adrian Jackson +1
We propose a new approach for large-scale high-dynamic range computational imaging. Deep Neural Networks (DNNs) trained end-to-end can solve linear inverse imaging problems almost…
First AI for deep super-resolution wide-field imaging in radio astronomy: unveiling structure in ESO 137--006
Arwa Dabbech, Matthieu Terris, Adrian Jackson +3
We introduce the first AI-based framework for deep, super-resolution, wide-field radio-interferometric imaging, and demonstrate it on observations of the ESO~137-006 radio galaxy.…
Image reconstruction algorithms in radio interferometry: from handcrafted to learned regularization denoisers
Matthieu Terris, Arwa Dabbech, Chao Tang +1
We introduce a new class of iterative image reconstruction algorithms for radio interferometry, at the interface of convex optimization and deep learning, inspired by plug-and-play…