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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<div class="refentry">
<a name="libvips-convolution"></a><div class="titlepage"></div>
<div class="refnamediv"><table width="100%"><tr>
<td valign="top">
<h2><span class="refentrytitle"><a name="libvips-convolution.top_of_page"></a>convolution</span></h2>
<p>convolution — convolve and correlate images</p>
</td>
<td class="gallery_image" valign="top" align="right"></td>
</tr></table></div>
<div class="refsect1">
<a name="libvips-convolution.stability-level"></a><h2>Stability Level</h2>
Stable, unless otherwise indicated
</div>
<div class="refsect1">
<a name="libvips-convolution.functions"></a><h2>Functions</h2>
<div class="informaltable"><table width="100%" border="0">
<colgroup>
<col width="150px" class="functions_return">
<col class="functions_name">
</colgroup>
<tbody>
<tr>
<td class="function_type">
<span class="returnvalue">int</span>
</td>
<td class="function_name">
<a class="link" href="libvips-convolution.html#vips-conv" title="vips_conv ()">vips_conv</a> <span class="c_punctuation">()</span>
</td>
</tr>
<tr>
<td class="function_type">
<span class="returnvalue">int</span>
</td>
<td class="function_name">
<a class="link" href="libvips-convolution.html#vips-compass" title="vips_compass ()">vips_compass</a> <span class="c_punctuation">()</span>
</td>
</tr>
<tr>
<td class="function_type">
<span class="returnvalue">int</span>
</td>
<td class="function_name">
<a class="link" href="libvips-convolution.html#vips-convsep" title="vips_convsep ()">vips_convsep</a> <span class="c_punctuation">()</span>
</td>
</tr>
<tr>
<td class="function_type">
<span class="returnvalue">int</span>
</td>
<td class="function_name">
<a class="link" href="libvips-convolution.html#vips-sharpen" title="vips_sharpen ()">vips_sharpen</a> <span class="c_punctuation">()</span>
</td>
</tr>
<tr>
<td class="function_type">
<span class="returnvalue">int</span>
</td>
<td class="function_name">
<a class="link" href="libvips-convolution.html#vips-gaussblur" title="vips_gaussblur ()">vips_gaussblur</a> <span class="c_punctuation">()</span>
</td>
</tr>
</tbody>
</table></div>
</div>
<div class="refsect1">
<a name="libvips-convolution.other"></a><h2>Types and Values</h2>
<div class="informaltable"><table width="100%" border="0">
<colgroup>
<col width="150px" class="name">
<col class="description">
</colgroup>
<tbody>
<tr>
<td class="datatype_keyword">enum</td>
<td class="function_name"><a class="link" href="libvips-convolution.html#VipsPrecision" title="enum VipsPrecision">VipsPrecision</a></td>
</tr>
<tr>
<td class="datatype_keyword">enum</td>
<td class="function_name"><a class="link" href="libvips-convolution.html#VipsCombine" title="enum VipsCombine">VipsCombine</a></td>
</tr>
</tbody>
</table></div>
</div>
<div class="refsect1">
<a name="libvips-convolution.object-hierarchy"></a><h2>Object Hierarchy</h2>
<pre class="screen">
</pre>
</div>
<div class="refsect1">
<a name="libvips-convolution.includes"></a><h2>Includes</h2>
<pre class="synopsis">#include &lt;vips/vips.h&gt;
</pre>
</div>
<div class="refsect1">
<a name="libvips-convolution.description"></a><h2>Description</h2>
<p>These operations convolve an image in some way, or are operations based on
simple convolution, or are useful with convolution.</p>
</div>
<div class="refsect1">
<a name="libvips-convolution.functions_details"></a><h2>Functions</h2>
<div class="refsect2">
<a name="vips-conv"></a><h3>vips_conv ()</h3>
<pre class="programlisting"><span class="returnvalue">int</span>
vips_conv (<em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> *in</code></em>,
           <em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> **out</code></em>,
           <em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> *mask</code></em>,
           <em class="parameter"><code>...</code></em>);</pre>
<p>Optional arguments:</p>
<p><em class="parameter"><code>precision</code></em>
: calculation accuracy
<em class="parameter"><code>layers</code></em>
: number of layers for approximation
<em class="parameter"><code>cluster</code></em>
: cluster lines closer than this distance</p>
<p>Convolution. </p>
<p>Perform a convolution of <em class="parameter"><code>in</code></em>
 with <em class="parameter"><code>mask</code></em>
.
Each output pixel is
calculated as sigma[i]{pixel[i] * mask[i]} / scale + offset, where scale
and offset are part of <em class="parameter"><code>mask</code></em>
. </p>
<p>If <em class="parameter"><code>precision</code></em>
 is <a class="link" href="libvips-convolution.html#VIPS-PRECISION-INTEGER:CAPS"><span class="type">VIPS_PRECISION_INTEGER</span></a> then the convolution is performed
with integer arithmetic and the output image 
always has the same <span class="type">VipsBandFmt</span> as the input image. </p>
<p>Convolutions on unsigned 8-bit images are calculated with the 
processor's vector unit, if possible. Disable this with --vips-novector or 
IM_NOVECTOR.</p>
<p>If <em class="parameter"><code>precision</code></em>
 is <a class="link" href="libvips-convolution.html#VIPS-PRECISION-FLOAT:CAPS"><span class="type">VIPS_PRECISION_FLOAT</span></a> then the convolution is performed
with floating-point arithmetic. The output image 
is always <a class="link" href="VipsImage.html#VIPS-FORMAT-FLOAT:CAPS"><code class="literal">VIPS_FORMAT_FLOAT</code></a> unless <em class="parameter"><code>in</code></em>
 is <a class="link" href="VipsImage.html#VIPS-FORMAT-DOUBLE:CAPS"><code class="literal">VIPS_FORMAT_DOUBLE</code></a>, in which case
<em class="parameter"><code>out</code></em>
 is also <a class="link" href="VipsImage.html#VIPS-FORMAT-DOUBLE:CAPS"><code class="literal">VIPS_FORMAT_DOUBLE</code></a>. </p>
<p>If <em class="parameter"><code>precision</code></em>
 is <a class="link" href="libvips-convolution.html#VIPS-PRECISION-APPROXIMATE:CAPS"><span class="type">VIPS_PRECISION_APPROXIMATE</span></a> then the output image 
always has the same <span class="type">VipsBandFmt</span> as the input image. </p>
<p>Larger values for <em class="parameter"><code>layers</code></em>
 give more accurate
results, but are slower. As <em class="parameter"><code>layers</code></em>
 approaches the mask radius, the
accuracy will become close to exact convolution and the speed will drop to 
match. For many large masks, such as Gaussian, <em class="parameter"><code>n_layers</code></em>
 need be only 10% of
this value and accuracy will still be good.</p>
<p>Smaller values of <em class="parameter"><code>cluster</code></em>
 will give more accurate results, but be slower
and use more memory. 10% of the mask radius is a good rule of thumb.</p>
<div class="refsect3">
<a name="id-1.4.5.9.2.14"></a><h4>Parameters</h4>
<div class="informaltable"><table width="100%" border="0">
<colgroup>
<col width="150px" class="parameters_name">
<col class="parameters_description">
<col width="200px" class="parameters_annotations">
</colgroup>
<tbody>
<tr>
<td class="parameter_name"><p>in</p></td>
<td class="parameter_description"><p>input image</p></td>
<td class="parameter_annotations"> </td>
</tr>
<tr>
<td class="parameter_name"><p>out</p></td>
<td class="parameter_description"><p>output image</p></td>
<td class="parameter_annotations"> </td>
</tr>
<tr>
<td class="parameter_name"><p>mask</p></td>
<td class="parameter_description"><p>convolve with this mask</p></td>
<td class="parameter_annotations"> </td>
</tr>
<tr>
<td class="parameter_name"><p>...</p></td>
<td class="parameter_description"><p><a href="http://library.gnome.org/devel/glib/unstable/glib-Standard-Macros.html#NULL:CAPS"><code class="literal">NULL</code></a>-terminated list of optional named arguments</p></td>
<td class="parameter_annotations"> </td>
</tr>
</tbody>
</table></div>
</div>
<div class="refsect3">
<a name="id-1.4.5.9.2.15"></a><h4>Returns</h4>
<p> 0 on success, -1 on error</p>
<p></p>
</div>
</div>
<hr>
<div class="refsect2">
<a name="vips-compass"></a><h3>vips_compass ()</h3>
<pre class="programlisting"><span class="returnvalue">int</span>
vips_compass (<em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> *in</code></em>,
              <em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> **out</code></em>,
              <em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> *mask</code></em>,
              <em class="parameter"><code>...</code></em>);</pre>
</div>
<hr>
<div class="refsect2">
<a name="vips-convsep"></a><h3>vips_convsep ()</h3>
<pre class="programlisting"><span class="returnvalue">int</span>
vips_convsep (<em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> *in</code></em>,
              <em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> **out</code></em>,
              <em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> *mask</code></em>,
              <em class="parameter"><code>...</code></em>);</pre>
<p>Optional arguments:</p>
<p><em class="parameter"><code>precision</code></em>
: calculation accuracy
<em class="parameter"><code>layers</code></em>
: number of layers for approximation
<em class="parameter"><code>cluster</code></em>
: cluster lines closer than this distance</p>
<p>Perform a separable convolution of <em class="parameter"><code>in</code></em>
 with <em class="parameter"><code>mask</code></em>
.
See <a class="link" href="libvips-convolution.html#vips-conv" title="vips_conv ()"><code class="function">vips_conv()</code></a> for a detailed description.</p>
<p>The mask must be 1xn or nx1 elements. </p>
<p>The image is convolved twice: once with <em class="parameter"><code>mask</code></em>
 and then again with <em class="parameter"><code>mask</code></em>
 
rotated by 90 degrees. This is much faster for certain types of mask
(gaussian blur, for example) than doing a full 2D convolution.</p>
<p>See also: <a class="link" href="libvips-convolution.html#vips-conv" title="vips_conv ()"><code class="function">vips_conv()</code></a>, <a class="link" href="libvips-create.html#vips-gaussmat" title="vips_gaussmat ()"><code class="function">vips_gaussmat()</code></a>.</p>
<div class="refsect3">
<a name="id-1.4.5.9.4.10"></a><h4>Parameters</h4>
<div class="informaltable"><table width="100%" border="0">
<colgroup>
<col width="150px" class="parameters_name">
<col class="parameters_description">
<col width="200px" class="parameters_annotations">
</colgroup>
<tbody>
<tr>
<td class="parameter_name"><p>in</p></td>
<td class="parameter_description"><p>input image</p></td>
<td class="parameter_annotations"> </td>
</tr>
<tr>
<td class="parameter_name"><p>out</p></td>
<td class="parameter_description"><p>output image</p></td>
<td class="parameter_annotations"> </td>
</tr>
<tr>
<td class="parameter_name"><p>mask</p></td>
<td class="parameter_description"><p>convolution mask</p></td>
<td class="parameter_annotations"> </td>
</tr>
</tbody>
</table></div>
</div>
<div class="refsect3">
<a name="id-1.4.5.9.4.11"></a><h4>Returns</h4>
<p> 0 on success, -1 on error</p>
<p></p>
</div>
</div>
<hr>
<div class="refsect2">
<a name="vips-sharpen"></a><h3>vips_sharpen ()</h3>
<pre class="programlisting"><span class="returnvalue">int</span>
vips_sharpen (<em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> *in</code></em>,
              <em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> **out</code></em>,
              <em class="parameter"><code>...</code></em>);</pre>
<p>Optional arguments:</p>
<p><em class="parameter"><code>radius</code></em>
: how large a mask to use
<em class="parameter"><code>x1</code></em>
: flat/jaggy threshold
<em class="parameter"><code>y2</code></em>
: maximum amount of brightening
<em class="parameter"><code>y3</code></em>
: maximum amount of darkening
<em class="parameter"><code>m1</code></em>
: slope for flat areas
<em class="parameter"><code>m2</code></em>
: slope for jaggy areas</p>
<p>Selectively sharpen the L channel of a LAB image. The input image is
transformed to <a class="link" href="VipsImage.html#VIPS-INTERPRETATION-LABS:CAPS"><span class="type">VIPS_INTERPRETATION_LABS</span></a>. </p>
<p>The operation performs a gaussian blur of radius <em class="parameter"><code>radius</code></em>
 and subtracts 
from <em class="parameter"><code>in</code></em>
 to generate a high-frequency signal. This signal is passed 
through a lookup table formed from the five parameters and added back to 
<em class="parameter"><code>in</code></em>
.</p>
<p>The lookup table is formed like this:</p>
<div class="informalexample"><pre class="programlisting">
                      ^
                   y2 |- - - - - -----------
                      |         / 
                      |        / slope m2
                      |    .../    
              -x1     | ...   |    
  -------------------...----------------------&gt;
              |   ... |      x1           
              |... slope m1
              /       |
             / m2     |
            /         |
           /          |
          /           |
         /            |
  ______/ _ _ _ _ _ _ | -y3
                      |
</pre></div>
<p></p>
<p>For printing, we recommend the following settings (the defaults):</p>
<div class="informalexample"><pre class="programlisting">
   radius == 3
   x1 == 1.5
   y2 == 20         (don't brighten by more than 20 L*)
   y3 == 50         (can darken by up to 50 L*)

   m1 == 1          (some sharpening in flat areas)
   m2 == 2          (more sharpening in jaggy areas)
</pre></div>
<p></p>
<p>If you want more or less sharpening, we suggest you just change the m1 
and m2 parameters. </p>
<p>The <em class="parameter"><code>radius</code></em>
 parameter changes the width of the fringe and can be 
adjusted according to the output printing resolution. As an approximate 
guideline, use 1 for 4 pixels/mm (CRT display resolution), 2 for 8 
pixels/mm, 3 for 12 pixels/mm and 4 for 16 pixels/mm (300 dpi == 12 
pixels/mm). These figures refer to the image raster, not the half-tone 
resolution.</p>
<p>See also: <code class="function">im_conv()</code>.</p>
<div class="refsect3">
<a name="id-1.4.5.9.5.17"></a><h4>Parameters</h4>
<div class="informaltable"><table width="100%" border="0">
<colgroup>
<col width="150px" class="parameters_name">
<col class="parameters_description">
<col width="200px" class="parameters_annotations">
</colgroup>
<tbody>
<tr>
<td class="parameter_name"><p>in</p></td>
<td class="parameter_description"><p>input image</p></td>
<td class="parameter_annotations"> </td>
</tr>
<tr>
<td class="parameter_name"><p>out</p></td>
<td class="parameter_description"><p>output image</p></td>
<td class="parameter_annotations"> </td>
</tr>
<tr>
<td class="parameter_name"><p>...</p></td>
<td class="parameter_description"><p><a href="http://library.gnome.org/devel/glib/unstable/glib-Standard-Macros.html#NULL:CAPS"><code class="literal">NULL</code></a>-terminated list of optional named arguments</p></td>
<td class="parameter_annotations"> </td>
</tr>
</tbody>
</table></div>
</div>
<div class="refsect3">
<a name="id-1.4.5.9.5.18"></a><h4>Returns</h4>
<p> 0 on success, -1 on error.</p>
<p></p>
</div>
</div>
<hr>
<div class="refsect2">
<a name="vips-gaussblur"></a><h3>vips_gaussblur ()</h3>
<pre class="programlisting"><span class="returnvalue">int</span>
vips_gaussblur (<em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> *in</code></em>,
                <em class="parameter"><code><a class="link" href="VipsImage.html" title="VipsImage"><span class="type">VipsImage</span></a> **out</code></em>,
                <em class="parameter"><code><span class="type">int</span> radius</code></em>,
                <em class="parameter"><code>...</code></em>);</pre>
<p>Optional arguments:</p>
<p><em class="parameter"><code>precision</code></em>
: <a class="link" href="libvips-convolution.html#VipsPrecision" title="enum VipsPrecision"><span class="type">VipsPrecision</span></a> for blur</p>
<p>This operator runs <a class="link" href="libvips-create.html#vips-gaussmat" title="vips_gaussmat ()"><code class="function">vips_gaussmat()</code></a> and <a class="link" href="libvips-convolution.html#vips-convsep" title="vips_convsep ()"><code class="function">vips_convsep()</code></a> for you on an image. </p>
<p><em class="parameter"><code>radius</code></em>
 is not used directly. Instead the standard deviation of
<a class="link" href="libvips-create.html#vips-gaussmat" title="vips_gaussmat ()"><code class="function">vips_gaussmat()</code></a> is set to <em class="parameter"><code>radius</code></em>
 / 2.0 and the minimum amplitude set to 
20%. This gives a mask radius of approximately <em class="parameter"><code>radius</code></em>
 pixels.</p>
<p>See also: <a class="link" href="libvips-create.html#vips-gaussmat" title="vips_gaussmat ()"><code class="function">vips_gaussmat()</code></a>, <a class="link" href="libvips-convolution.html#vips-conv" title="vips_conv ()"><code class="function">vips_conv()</code></a>.</p>
<div class="refsect3">
<a name="id-1.4.5.9.6.9"></a><h4>Parameters</h4>
<div class="informaltable"><table width="100%" border="0">
<colgroup>
<col width="150px" class="parameters_name">
<col class="parameters_description">
<col width="200px" class="parameters_annotations">
</colgroup>
<tbody>
<tr>
<td class="parameter_name"><p>in</p></td>
<td class="parameter_description"><p>input image</p></td>
<td class="parameter_annotations"> </td>
</tr>
<tr>
<td class="parameter_name"><p>out</p></td>
<td class="parameter_description"><p>output image</p></td>
<td class="parameter_annotations"> </td>
</tr>
<tr>
<td class="parameter_name"><p>radius</p></td>
<td class="parameter_description"><p>how large a mask to use</p></td>
<td class="parameter_annotations"> </td>
</tr>
<tr>
<td class="parameter_name"><p>...</p></td>
<td class="parameter_description"><p><a href="http://library.gnome.org/devel/glib/unstable/glib-Standard-Macros.html#NULL:CAPS"><code class="literal">NULL</code></a>-terminated list of optional named arguments</p></td>
<td class="parameter_annotations"> </td>
</tr>
</tbody>
</table></div>
</div>
<div class="refsect3">
<a name="id-1.4.5.9.6.10"></a><h4>Returns</h4>
<p> 0 on success, -1 on error.</p>
<p></p>
</div>
</div>
</div>
<div class="refsect1">
<a name="libvips-convolution.other_details"></a><h2>Types and Values</h2>
<div class="refsect2">
<a name="VipsPrecision"></a><h3>enum VipsPrecision</h3>
<p>How accurate an operation should be.</p>
<div class="refsect3">
<a name="id-1.4.5.10.2.4"></a><h4>Members</h4>
<div class="informaltable"><table width="100%" border="0">
<colgroup>
<col width="300px" class="enum_members_name">
<col class="enum_members_description">
<col width="200px" class="enum_members_annotations">
</colgroup>
<tbody>
<tr>
<td class="enum_member_name"><p><a name="VIPS-PRECISION-INTEGER:CAPS"></a>VIPS_PRECISION_INTEGER</p></td>
<td class="enum_member_description">
<p>int everywhere</p>
</td>
<td class="enum_member_annotations"> </td>
</tr>
<tr>
<td class="enum_member_name"><p><a name="VIPS-PRECISION-FLOAT:CAPS"></a>VIPS_PRECISION_FLOAT</p></td>
<td class="enum_member_description">
<p>float everywhere</p>
</td>
<td class="enum_member_annotations"> </td>
</tr>
<tr>
<td class="enum_member_name"><p><a name="VIPS-PRECISION-APPROXIMATE:CAPS"></a>VIPS_PRECISION_APPROXIMATE</p></td>
<td class="enum_member_description">
<p>approximate integer output</p>
</td>
<td class="enum_member_annotations"> </td>
</tr>
<tr>
<td class="enum_member_name"><p><a name="VIPS-PRECISION-LAST:CAPS"></a>VIPS_PRECISION_LAST</p></td>
<td> </td>
<td> </td>
</tr>
</tbody>
</table></div>
</div>
</div>
<hr>
<div class="refsect2">
<a name="VipsCombine"></a><h3>enum VipsCombine</h3>
<div class="refsect3">
<a name="id-1.4.5.10.3.3"></a><h4>Members</h4>
<div class="informaltable"><table width="100%" border="0">
<colgroup>
<col width="300px" class="enum_members_name">
<col class="enum_members_description">
<col width="200px" class="enum_members_annotations">
</colgroup>
<tbody>
<tr>
<td class="enum_member_name"><p><a name="VIPS-COMBINE-MAX:CAPS"></a>VIPS_COMBINE_MAX</p></td>
<td> </td>
<td> </td>
</tr>
<tr>
<td class="enum_member_name"><p><a name="VIPS-COMBINE-SUM:CAPS"></a>VIPS_COMBINE_SUM</p></td>
<td> </td>
<td> </td>
</tr>
<tr>
<td class="enum_member_name"><p><a name="VIPS-COMBINE-LAST:CAPS"></a>VIPS_COMBINE_LAST</p></td>
<td> </td>
<td> </td>
</tr>
</tbody>
</table></div>
</div>
</div>
</div>
</div>
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