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    <title>topic Convolution Scaling in Intel® Integrated Performance Primitives</title>
    <link>https://community.intel.com/t5/Intel-Integrated-Performance/Convolution-Scaling/m-p/787041#M2086</link>
    <description>&lt;P&gt;Hi, &lt;/P&gt;&lt;P&gt;If you want to normalize the data, is it to divided the kernel by sum of the all kernel value? &lt;/P&gt;&lt;P&gt;Thanks,&lt;BR /&gt;Chao&lt;/P&gt;</description>
    <pubDate>Fri, 25 Nov 2011 01:41:22 GMT</pubDate>
    <dc:creator>Chao_Y_Intel</dc:creator>
    <dc:date>2011-11-25T01:41:22Z</dc:date>
    <item>
      <title>Convolution Scaling</title>
      <link>https://community.intel.com/t5/Intel-Integrated-Performance/Convolution-Scaling/m-p/787039#M2084</link>
      <description>Hi,&lt;BR /&gt;&lt;BR /&gt;

Using ippiConvFull_32f_C3R yeilds very large luminance values. Using a softclip algorithm gives me aesthetic results, but I'd like to inquire about proper post scaling methods for ippiConvFull.&lt;BR /&gt;&lt;BR /&gt;
Any thoughts?
&lt;BR /&gt;&lt;BR /&gt;
Best,&lt;BR /&gt;&lt;BR /&gt;
Ryan</description>
      <pubDate>Thu, 24 Nov 2011 18:21:55 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Integrated-Performance/Convolution-Scaling/m-p/787039#M2084</guid>
      <dc:creator>Ryan2</dc:creator>
      <dc:date>2011-11-24T18:21:55Z</dc:date>
    </item>
    <item>
      <title>Convolution Scaling</title>
      <link>https://community.intel.com/t5/Intel-Integrated-Performance/Convolution-Scaling/m-p/787040#M2085</link>
      <description>Divided the Kernel by sqrt(Kernel_Width*Kernel_Height)</description>
      <pubDate>Thu, 24 Nov 2011 22:13:53 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Integrated-Performance/Convolution-Scaling/m-p/787040#M2085</guid>
      <dc:creator>Ryan2</dc:creator>
      <dc:date>2011-11-24T22:13:53Z</dc:date>
    </item>
    <item>
      <title>Convolution Scaling</title>
      <link>https://community.intel.com/t5/Intel-Integrated-Performance/Convolution-Scaling/m-p/787041#M2086</link>
      <description>&lt;P&gt;Hi, &lt;/P&gt;&lt;P&gt;If you want to normalize the data, is it to divided the kernel by sum of the all kernel value? &lt;/P&gt;&lt;P&gt;Thanks,&lt;BR /&gt;Chao&lt;/P&gt;</description>
      <pubDate>Fri, 25 Nov 2011 01:41:22 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Integrated-Performance/Convolution-Scaling/m-p/787041#M2086</guid>
      <dc:creator>Chao_Y_Intel</dc:creator>
      <dc:date>2011-11-25T01:41:22Z</dc:date>
    </item>
    <item>
      <title>Convolution Scaling</title>
      <link>https://community.intel.com/t5/Intel-Integrated-Performance/Convolution-Scaling/m-p/787042#M2087</link>
      <description>Hi,&lt;BR /&gt;&lt;BR /&gt;

I actually just worked that out.  Thank you for replying.&lt;BR /&gt;&lt;BR /&gt;

Here's the code I used for anyone else who's wondering:&lt;BR /&gt;&lt;BR /&gt;&lt;DIV&gt;&lt;PRE&gt;[cpp]	//Calculate Sum of Kernel
	ippiSum_32f_C3R(Ipp_Ker, Ker_StepBytes, Ker_Size, KerScaled, ippAlgHintFast);

	// Clamp KerScale to 1.
	for (i=0; i&amp;lt;3; i++)
	{
		if (KerScaled&lt;I&gt; &amp;gt; 1)
			KerScalef&lt;I&gt; = float(1) / KerScaled[0];
		else
			KerScalef&lt;I&gt; = 1;
	}
	// Multipy Ker by Inverse of Sum
	ippiMulC_32f_C3IR(KerScalef, Ipp_Ker, Ker_StepBytes, Ker_Size);[/cpp]&lt;/I&gt;&lt;/I&gt;&lt;/I&gt;&lt;/PRE&gt; &lt;/DIV&gt;</description>
      <pubDate>Fri, 25 Nov 2011 16:43:47 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Integrated-Performance/Convolution-Scaling/m-p/787042#M2087</guid>
      <dc:creator>Ryan2</dc:creator>
      <dc:date>2011-11-25T16:43:47Z</dc:date>
    </item>
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