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	<title>Алгоритм интерполяции изображений с помощью направленного фильтра и слияния данных Archives &#8212; MATLAB Number ONE</title>
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	<title>Алгоритм интерполяции изображений с помощью направленного фильтра и слияния данных Archives &#8212; MATLAB Number ONE</title>
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		<title>An edge-guided image interpolation algorithm via directional filtering and data fusion</title>
		<link>https://matlab1.com/shop/matlab-code/an-edge-guided-image-interpolation-algorithm-via-directional-filtering-and-data-fusion/</link>
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		<pubDate>Mon, 16 Apr 2018 04:39:43 +0000</pubDate>
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					<description><![CDATA[<p>We developed an edge-guided LMMSE-type image interpolation technique. For each pixel to be interpolated, we partitioned its neighborhood into two observation subsets in two orthogonal directions. Each observation subset was used to generate an estimate of the missing sample. These two directional estimates were processed as two noisy measurements of the missing sample. Using and combining the statistics of the two observation [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/an-edge-guided-image-interpolation-algorithm-via-directional-filtering-and-data-fusion/">An edge-guided image interpolation algorithm via directional filtering and data fusion</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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