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• W2156869623 abstract "In this paper, we propose a new method for impulsive noise removal from images. It uses the sparsity of natural images when they are expanded by mean of a good learned dictionary. The zeros in sparse domain give us an idea to reconstruct the pixels that are corrupted by random-value impulse noises. This idea comes from this reality that noisy image in sparse domain of original image will not have a sparse representation as much as original image sparsity. In this method we assume that the proper dictionary to achieve image in sparse domain is available." @default.
• W2156869623 created "2016-06-24" @default.
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• W2156869623 date "2010-05-01" @default.
• W2156869623 modified "2023-09-25" @default.
• W2156869623 title "Impulsive noise removal from images using sparse representation and optimization methods" @default.
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• W2156869623 doi "https://doi.org/10.1109/isspa.2010.5605449" @default.
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