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	<title>ウェーブレット. Archives &#8212; MATLAB Number ONE</title>
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	<title>ウェーブレット. Archives &#8212; MATLAB Number ONE</title>
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		<title>Color reproduction from noisy CFA data of single sensor digital cameras</title>
		<link>https://matlab1.com/shop/matlab-code/color-reproduction-from-noisy-cfa-data-of-single-sensor-digital-cameras/</link>
					<comments>https://matlab1.com/shop/matlab-code/color-reproduction-from-noisy-cfa-data-of-single-sensor-digital-cameras/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 19 Apr 2018 05:44:17 +0000</pubDate>
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					<description><![CDATA[<p>&#160;</p>
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<p>The post <a href="https://matlab1.com/shop/matlab-code/color-reproduction-from-noisy-cfa-data-of-single-sensor-digital-cameras/">Color reproduction from noisy CFA data of single sensor digital cameras</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Multiscale LMMSE-based image denoising with optimal wavelet selection</title>
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					<comments>https://matlab1.com/shop/matlab-code/multiscale-lmmse-based-image-denoising-with-optimal-wavelet-selection/#respond</comments>
		
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		<pubDate>Mon, 16 Apr 2018 13:53:23 +0000</pubDate>
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					<description><![CDATA[<p>In this paper, we presented an LMMSE-based denoising scheme with a wavelet interscale model and discussed the optimal wavelet basis selection for it. With OWE the wavelet coefficients at the same spatial locations at two adjacent scales are represented as a vector and the LMMSE is applied to the vector. The wavelet interscale dependencies are thus exploited to improve the signal [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/multiscale-lmmse-based-image-denoising-with-optimal-wavelet-selection/">Multiscale LMMSE-based image denoising with optimal wavelet selection</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Noise Filtration Technique for Medical Imaging</title>
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					<comments>https://matlab1.com/shop/matlab-code/noise-filtration-technique-medical-imaging/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sat, 20 Aug 2016 06:04:31 +0000</pubDate>
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					<description><![CDATA[<p>In medical images, noise suppression is a particularly delicate and difficult task. A trade off between noise reduction and the preservation of actual image features has to be made in a way that enhances the diagnostically relevant image content. Image processing specialists usually lack the biomedical expertise to judge the diagnostic relevance of the denoising results. For example, in ultrasound images, [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/noise-filtration-technique-medical-imaging/">Noise Filtration Technique for Medical Imaging</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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