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	<title>Non-local Sparse Models for Image Restoration Archives &#8212; MATLAB Number ONE</title>
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	<title>Non-local Sparse Models for Image Restoration Archives &#8212; MATLAB Number ONE</title>
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		<title>Combination the non-local means and sparse coding approaches to image restoration</title>
		<link>https://matlab1.com/shop/matlab-code/combination-the-non-local-means-and-sparse-coding-approaches-to-image-restoration/</link>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sat, 12 May 2018 11:30:39 +0000</pubDate>
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					<description><![CDATA[<p>We have proposed in this project a new image model that combines the non-local means and sparse coding approaches to image restoration into a unified framework where similar patches are decomposed using similar sparsity patterns. Quantitative and qualitative experiments with images corrupted with synthetic or real noise have shown that the proposed algorithm outperforms the state of the art in image demosaicking [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/combination-the-non-local-means-and-sparse-coding-approaches-to-image-restoration/">Combination the non-local means and sparse coding approaches to image restoration</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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