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	<title>diagonal approximation Archives &#8212; MATLAB Number ONE</title>
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	<title>diagonal approximation Archives &#8212; MATLAB Number ONE</title>
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		<title>Efficient Marginal Likelihood Optimization in Blind Deconvolution</title>
		<link>https://matlab1.com/shop/matlab-code/efficient-marginal-likelihood-optimization-in-blind-deconvolution/</link>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Fri, 11 May 2018 05:41:00 +0000</pubDate>
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					<description><![CDATA[<p>The MAPk blind deconvolution principle is significantly more robust than the MAPx,k principle. Yet, it is considered hard to implement and has not been widely exploited. In this paper we argue that the MAPk approach can actually be optimized easily, and present simple and practical MAPk algorithms. While popular MAPx,k strategies basically alternate between latent image estimation given a kernel [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/efficient-marginal-likelihood-optimization-in-blind-deconvolution/">Efficient Marginal Likelihood Optimization in Blind Deconvolution</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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