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<a href="#func-members">Functions</a>  </div>
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<div class="title">DownScalingAlgorithms<div class="ingroups"><a class="el" href="group___scaling_algorithms.html">ScalingAlgorithms</a></div></div>  </div>
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<p>Algorthims suitable for downscaling.  
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Functions</h2></td></tr>
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template&lt;typename ImageView &gt; </td></tr>
<tr class="memitem:ga272263cc79c9aa4ecb26687c15f2edf5"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group___down_scaling_algorithms.html#ga272263cc79c9aa4ecb26687c15f2edf5">scale_lanczos</a> (ImageView input_view, ImageView output_view, std::ptrdiff_t a)</td></tr>
<tr class="memdesc:ga272263cc79c9aa4ecb26687c15f2edf5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Complete Lanczos algorithmThis algorithm does full pass over resulting image and convolves pixels from original image. Do note that it might be a good idea to have a look at test output as there might be ringing artifacts. Based on wikipedia article: <a href="https://en.wikipedia.org/wiki/Lanczos_resampling">https://en.wikipedia.org/wiki/Lanczos_resampling</a> with standardinzed cardinal sin (sinc) <br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<p>Algorthims suitable for downscaling. </p>
<p>These algorithms provide best results when used for downscaling. Using for upscaling will probably provide less than good results.</p>
<p>a single step of lanczos downscaling</p>
<p>Use this algorithm to scale down source image into a smaller image with reasonable quality. Do note that having a look at the output once is a good idea, since it might have ringing artifacts. </p>
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