Joint denoising and decompression using CNN regularization
Résumé
Wavelet compression schemes (such as JPEG2000) lead to very specific visual artifacts due to the quantization of noisy wavelet coefficients. They have highly spatialy-correlated structure that makes it difficult to be removed with standard denoising algorithms. In this work, we propose a joint denoising and decompression method that combines a data-fitting term which takes into account the quantization process and an implicit prior contained in a stateof-the-art denoising CNN.
Domaines
Traitement du signal et de l'image [eess.SP] Traitement des images [eess.IV] Vision par ordinateur et reconnaissance de formes [cs.CV] Analyse numérique [math.NA] Machine Learning [stat.ML] Analyse numérique [cs.NA] Traitement du signal et de l'image [eess.SP] Optimisation et contrôle [math.OC]| Origine | Fichiers produits par l'(les) auteur(s) |
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