no code implementations • 25 Oct 2023 • Elli Karvonen, Matti Lassas, Pekka Pankka, Samuli Siltanen
A novel reconstruction method is introduced for the severely ill-posed inverse problem of limited-angle tomography.
no code implementations • 31 Dec 2021 • Siiri Rautio, Rashmi Murthy, Tatiana A. Bubba, Matti Lassas, Samuli Siltanen
Limited-angle tomography is a highly ill-posed linear inverse problem.
no code implementations • 21 May 2021 • Markus Juvonen, Samuli Siltanen, Fernando Silva de Moura
The photographic dataset collected for the Helsinki Deblur Challenge 2021 (HDC2021) contains pairs of images taken by two identical cameras of the same target but with different conditions.
1 code implementation • 2 Jun 2020 • Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
We propose a novel convolutional neural network (CNN), called $\Psi$DONet, designed for learning pseudodifferential operators ($\Psi$DOs) in the context of linear inverse problems.
no code implementations • 25 Jan 2017 • David Villacis, Santeri Kaupinmäki, Samuli Siltanen, Teemu Helenius
This is a photographic dataset collected for testing image processing algorithms.
no code implementations • 3 Mar 2016 • Teemu Helenius, Samuli Siltanen
This is a photographic dataset collected for testing image processing algorithms.