- Martin Benning, University of Münster
- Tuomo Valkonen, University of Cambridge
"High resolution imaging with geometric priors"
The desire to recover a high-resolution image from low-resolution data is widespread in modern imaging applications.
succesfull reconstructions, additional information has to be
introduced in terms of priors modelling expected image structures.
In this context, priors that preserve important geometric features, such as edges and gradients appear to be very useful.
They lead to improved reconstructions in comparison to priors only modelling, e.g., pointwise noise.
The talks in this minisymposium study such priors for imaging problems both static and dynamic.