IFIP TC 7 / 2013 - Minisymposia

  • Juan Carlos De Los Reyes Escuela PolitĂ©cnica Nacional de Quito
  • Carola Schönlieb, University of Cambridge
"Noise estimation, model selection & bilevel optimisation"

A 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.

Recent 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.