<?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>Улучшенная текстура шумоподавления изображения с помощью сохранения Градиентной гистограммы Archives &#8212; MATLAB Number ONE</title>
	<atom:link href="https://matlab1.com/product-tag/%d1%83%d0%bb%d1%83%d1%87%d1%88%d0%b5%d0%bd%d0%bd%d0%b0%d1%8f-%d1%82%d0%b5%d0%ba%d1%81%d1%82%d1%83%d1%80%d0%b0-%d1%88%d1%83%d0%bc%d0%be%d0%bf%d0%be%d0%b4%d0%b0%d0%b2%d0%bb%d0%b5%d0%bd%d0%b8%d1%8f/feed/" rel="self" type="application/rss+xml" />
	<link>https://matlab1.com/product-tag/улучшенная-текстура-шумоподавления/</link>
	<description>MATLAB Simulink &#124; Tutorial &#124; Code &#124; Project</description>
	<lastBuildDate>Fri, 03 Dec 2021 06:31:41 +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>Улучшенная текстура шумоподавления изображения с помощью сохранения Градиентной гистограммы Archives &#8212; MATLAB Number ONE</title>
	<link>https://matlab1.com/product-tag/улучшенная-текстура-шумоподавления/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Texture Enhanced Image Denoising via Gradient Histogram Preservation</title>
		<link>https://matlab1.com/shop/matlab-code/texture-enhanced-image-denoising-via-gradient-histogram-preservation/</link>
					<comments>https://matlab1.com/shop/matlab-code/texture-enhanced-image-denoising-via-gradient-histogram-preservation/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Mon, 16 Apr 2018 05:47:39 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=4999</guid>

					<description><![CDATA[<p>In this project, we presented a novel gradient histogram preserving (GHP) model for texture-enhanced image denoising (TEID). The GHP model can preserve the gradient distribution by pushing the gradient histogram of the denoised image toward the reference histogram, and thus is promising in enhancing the texture structure while removing random noise. To implement the GHP model, we proposed an efficient iterative [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/texture-enhanced-image-denoising-via-gradient-histogram-preservation/">Texture Enhanced Image Denoising via Gradient Histogram Preservation</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
					<wfw:commentRss>https://matlab1.com/shop/matlab-code/texture-enhanced-image-denoising-via-gradient-histogram-preservation/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
