New methods for $\ell_2-\ell_0$ minimization and their applications to 2D Single-Molecule Localization Microscopy - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

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.
Fichier principal
Vignette du fichier
ISBI_19_Grammerly(4).pdf (709.71 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02107577 , version 1 (23-04-2019)
hal-02107577 , version 2 (06-06-2019)

Identifiants

Citer

Arne Bechensteen, Laure Blanc-Féraud, Gilles Aubert. New methods for $\ell_2-\ell_0$ minimization and their applications to 2D Single-Molecule Localization Microscopy. ISBI 2019 - IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. ⟨10.1109/ISBI.2019.8759567⟩. ⟨hal-02107577v2⟩
167 Consultations
306 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More