Weighted Couple Sparse Representation With Classified Regularization for Impulse Noise Removal

Many impulse noise (IN) reduction methods suffer from two obstacles, the improper noise detectors and imperfect filters they used. To address such issue, in this paper, a weighted couple sparse representation model is presented to remove IN. In the proposed model, the complicated relationships betwe...

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Veröffentlicht in:	IEEE transactions on image processing 2015-11, Vol.24 (11), p.4014-4026
Hauptverfasser:	Chen, Chun Lung Philip, Licheng Liu, Long Chen, Yuan Yan Tang, Yicong Zhou
Format:	Artikel
Sprache:	eng
Schlagworte:	classified regularization couple sparse representation Detectors Dictionaries dictionary learning Image coding image denoising Image reconstruction impulse noise Noise Noise measurement Noise reduction
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