New methods for $\ell_2-\ell_0$ minimization and their applications to 2D Single-Molecule Localization Microscopy
Résumé
We present in this paper a biconvex reformulation of an $\ell_2-\ell_0$ problem composed of a least-square data term plus a sparsity term introduced as a constraint or a penalization. Minimization algorithms are derived and compared with the state of the art in $\ell_2-\ell_0$ minimization by relaxation or deep learning. Application results are shown on Single-Molecule Localization Microscopy.
Origine : Fichiers produits par l'(les) auteur(s)
Loading...