Refitting solutions promoted by $\ell_{12}$ sparse analysis regularization with block penalties
Langue
en
Communication dans un congrès
Ce document a été publié dans
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'19), 2019-06-30, Hofgeismar. 2019 n° 11603, p. 131-143
Springer International Publishing
Résumé en anglais
In inverse problems, the use of an $\ell_{12}$ analysis regularizer induces a bias in the estimated solution. We propose a general refitting framework for removing this artifact while keeping information of interest contained ...Lire la suite >
Projet Européen
Nonlocal Methods for Arbitrary Data Sources
Project ANR
Generalized Optimal Transport Models for Image processing - ANR-16-CE33-0010