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<html><head> <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1"> <title>Contents.m</title><link rel="stylesheet" type="text/css" href="../../stpr.css"></head><body><table border=0 width="100%" cellpadding=0 cellspacing=0><tr valign="baseline"><td valign="baseline" class="function"><b class="function">SHOW_DENOISING</b><td valign="baseline" align="right" class="function"><a href="../../demos/image_denoising/index.html" target="mdsdir"><img border = 0 src="../../up.gif"></a></table> <p><b>Image denosing of USPS hand-written numerals.</b></p> <hr><div class='code'><code><span class=help></span><br><span class=help> <span class=help_field>Description:</span></span><br><span class=help> The input noisy images are denoised using the </span><br><span class=help> kernel PCA model. The denosing based on linear PCA</span><br><span class=help> is also computed for comparision. Imgase of</span><br><span class=help> - Ground truth numerlas</span><br><span class=help> - Noisy numerals</span><br><span class=help> - Numerals denoised by kernel PCA</span><br><span class=help> - Numerals denoised by linear PCA</span><br><span class=help> are displayed.</span><br><span class=help></span><br><span class=help> See also</span><br><span class=help> KPCAREC, PCAREC.</span><br><span class=help></span><br></code></div> <hr> <b>Source:</b> <a href= "../../demos/image_denoising/list/show_denoising.html">show_denoising.m</a> <p><b class="info_field">About: </b> Statistical Pattern Recognition Toolbox<br> (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac<br> <a href="http://www.cvut.cz">Czech Technical University Prague</a><br> <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a><br> <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a><br></body></html>⌨️ 快捷键说明
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