SQUIDS Seminar: Bayesian inference for rough feature reconstructions
| Dates: | 23 June 2026 |
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| Times: | 11:00 - 12:00 |
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| What is it: | Seminar |
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| Organiser: | Department of Mathematics |
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| Who is it for: | University staff, Current University students |
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| Speaker: | Lassi Roininen |
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Speaker: Lassi Roininen (LUT University in Finland; currently a Visiting Fellow at Clare Hall, Cambridge)
Abstract: 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.
Speaker
Lassi Roininen
Organisation: LUT University in Finland; currently a Visiting Fellow at Clare Hall, Cambridge
Travel and Contact Information
Find event
G.108
Alan Turing Building
Manchester
