- Juan Carlos De Los Reyes Escuela Politécnica Nacional de Quito
- Carola Schönlieb, University of Cambridge
"Noise estimation, model selection & bilevel optimisation"
key issue in image denoising, and in inverse problems as a whole, is
the correct choice of data priors and fidelity terms. Depending on this
choice, different results are obtained.
Several strategies, both
heuristic (dictated by the physics behind the acquisition process) and
statistically grounded (e.g. by estimating or learning noise and
structure in the data), have been considered in the literature.
approaches in the community also propose to learn the model and the
parameter choice by bilevel optimisation techniques. In this
minisymposium we want to bring together researchers who work on this
challenging problem having different methodologies in mind.