An Evolutionary Approach For Blind Deconvolution Of Barcode Images With Nonuniform Illumination
Résumé
—This paper deals with a joint nonuniform illumination estimation and blind deconvolution for barcode signals by using evolutionary algorithms. Indeed, such optimization problems are highly non convex and a robust method is needed in case of noisy and/or blurred signals and nonuniform illumination. Here, we present the construction of a genetic algorithm combining discrete and continuous optimization which is successfully applied to decode real images with very strong noise and blur.
Domaines
Mathématiques [math] Analyse numérique [math.NA] Mathématiques [math] Statistiques [math.ST] Informatique [cs] Informatique [cs] Vision par ordinateur et reconnaissance de formes [cs.CV] Informatique [cs] Modélisation et simulation Informatique [cs] Traitement du signal et de l'image [eess.SP]
Origine : Fichiers produits par l'(les) auteur(s)
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