<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>алгоритм демонстрации цвета Archives &#8212; MATLAB Number ONE</title>
	<atom:link href="https://matlab1.com/product-tag/%D0%B0%D0%BB%D0%B3%D0%BE%D1%80%D0%B8%D1%82%D0%BC-%D0%B4%D0%B5%D0%BC%D0%BE%D0%BD%D1%81%D1%82%D1%80%D0%B0%D1%86%D0%B8%D0%B8-%D1%86%D0%B2%D0%B5%D1%82%D0%B0/feed/" rel="self" type="application/rss+xml" />
	<link>https://matlab1.com/product-tag/алгоритм-демонстрации-цвета/</link>
	<description>MATLAB Simulink &#124; Tutorial &#124; Code &#124; Project</description>
	<lastBuildDate>Fri, 03 Dec 2021 06:31:10 +0000</lastBuildDate>
	<language>en-GB</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	

<image>
	<url>https://matlab1.com/wp-content/uploads/2018/08/icon1-100x100.png</url>
	<title>алгоритм демонстрации цвета Archives &#8212; MATLAB Number ONE</title>
	<link>https://matlab1.com/product-tag/алгоритм-демонстрации-цвета/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Color demosaicing via directional linear minimum mean square-error estimation</title>
		<link>https://matlab1.com/shop/matlab-code/color-demosaicking-via-directional-linear-minimum-mean-square-error-estimation/</link>
					<comments>https://matlab1.com/shop/matlab-code/color-demosaicking-via-directional-linear-minimum-mean-square-error-estimation/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Mon, 16 Apr 2018 04:03:35 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=4978</guid>

					<description><![CDATA[<p>This project presented a new color demosaicking technique of LMMSE directional filtering of the green-red and green-blue PDS signals. The missing green samples are estimated from the filtered PDS in both horizontal and vertical directions, and the two estimates are optimally fused. The resulting green channel is then used to guide the estimation of the missing red and [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/color-demosaicking-via-directional-linear-minimum-mean-square-error-estimation/">Color demosaicing via directional linear minimum mean square-error estimation</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
					<wfw:commentRss>https://matlab1.com/shop/matlab-code/color-demosaicking-via-directional-linear-minimum-mean-square-error-estimation/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
