15 Minutes of FAME is the FAME Flagship’s monthly open morning coffee webinar series in which the Flagship’s researchers and partners offer snapshots into their current scientific work and activities within the FAME network.
This webinar will be presented by Professor Lassi Roininen (LUT University).
Edges in imaging, that is sharp discontinuities in intensity, pose a significant challenge for inverse problems algorithms that often rely on Gaussian assumptions. Non-Gaussian heavy-tailed priors, which can better model the sparsity and sharp transitions inherent in edges, offer an alternative for edge-preserving image reconstructions. We consider the inherent difficulties in handling edges and highlight the potential of heavy-tailed prior models to transform this problem into a practical engineering solution.
Grab your morning coffee and kickstart your day with us on the first Thursday of every month to hear more about how FAME shapes the future with mathematics, physics, and computing!
Online