Convex super-resolution detection 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)