A convex approach to super-resolution and regularization of lines in images
Résumé
We present a new convex formulation for the problem of recovering lines in degraded images. Following the recent paradigm of super-resolution, we formulate a dedicated atomic norm penalty and solve this optimization problem by a primal-dual algorithm. Then, a spectral estimation method recovers the line parameters, with subpixel accuracy.
Domaines
Analyse classique [math.CA]| Origine | Fichiers produits par l'(les) auteur(s) |
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