# New methods for $\ell_2-\ell_0$ minimization and their applications to 2D Single-Molecule Localization Microscopy

1 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : 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.
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Cited literature [18 references]

https://hal.inria.fr/hal-02107577
Contributor : Arne Bechensteen <>
Submitted on : Thursday, June 6, 2019 - 10:58:27 AM
Last modification on : Thursday, March 5, 2020 - 12:20:44 PM

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ISBI_19_Grammerly(4).pdf
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### Citation

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⟩

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