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     59 <p class="text-center"><a href="architecture.html#cache">The Pixel Cache</a>  <a href="architecture.html#stream">Streaming Pixels</a>  <a href="architecture.html#properties">Image Properties and Profiles</a>  <a href="architecture.html#tera-pixel">Large Image Support</a>  <a href="architecture.html#threads">Threads of Execution</a>  <a href="architecture.html#distributed">Heterogeneous Distributed Processing</a>  <a href="architecture.html#coders">Custom Image Coders</a>  <a href="architecture.html#filters">Custom Image Filters</a></p>
     60 
     61 <p class="lead magick-description">The citizens of Oz were quite content with their benefactor, the all-powerful Wizard.  They accepted his wisdom and benevolence without ever questioning the who, why, and where of his power.  Like the citizens of Oz, if you feel comfortable that ImageMagick can help you convert, edit, or compose your images without knowing what goes on behind the curtain, feel free to skip this section.  However, if you want to know more about the software and algorithms behind ImageMagick, read on.  To fully benefit from this discussion, you should be comfortable with image nomenclature and be familiar with computer programming.</p>
     62 
     63 <h2 class="magick-header"><a id="overview"></a>Architecture Overview</h2>
     64 
     65 <p>An image typically consists of a rectangular region of pixels and metadata.  To convert, edit, or compose an image in an efficient manner, we need convenient access to any pixel anywhere within the region (and sometimes outside the region).  And in the case of an image sequence, we need access to any pixel of any region of any image in the sequence.  However, there are hundreds of image formats such JPEG, TIFF, PNG, GIF, etc., that makes it difficult to access pixels on demand.  Within these formats we find differences in:</p>
     66 
     67 <ul>
     68   <li>colorspace (e.g sRGB, linear RGB, linear GRAY, CMYK, YUV, Lab, etc.)</li>
     69   <li>bit depth (.e.g 1, 4, 8, 12, 16, etc.)</li>
     70   <li>storage format (e.g. unsigned, signed, float, double, etc.)</li>
     71   <li>compression (e.g. uncompressed, RLE, Zip, BZip, etc.)</li>
     72   <li>orientation (i.e. top-to-bottom, right-to-left, etc.),</li>
     73   <li>layout (.e.g. raw, interspersed with opcodes, etc.)</li>
     74 </ul>
     75 
     76 <p>In addition, some image pixels may require attenuation, some formats permit more than one frame, and some formats contain vector graphics that must first be rasterized (converted from vector to pixels).</p>
     77 
     78 <p>An efficient implementation of an image processing algorithm may require we get or set:</p>
     79 
     80 <ul>
     81   <li>one pixel a time (e.g. pixel at location 10,3)</li>
     82   <li>a single scanline (e.g. all pixels from row 4)</li>
     83   <li>a few scanlines at once (e.g. pixel rows 4-7)</li>
     84   <li>a single column or columns of pixels (e.g. all pixels from column 11)</li>
     85   <li>an arbitrary region of pixels from the image (e.g. pixels defined at 10,7 to 10,19)</li>
     86   <li>a pixel in random order (e.g. pixel at 14,15 and 640,480)</li>
     87   <li>pixels from two different images (e.g. pixel at 5,1 from image 1 and pixel at 5,1 from image 2)</li>
     88   <li>pixels outside the boundaries of the image (e.g. pixel at -1,-3)</li>
     89   <li>a pixel component that is unsigned (65311) or in a floating-point representation (e.g. 0.17836)</li>
     90   <li>a high-dynamic range pixel that can include negative values (e.g. -0.00716) as well as values that exceed the quantum depth (e.g. 65931)</li>
     91   <li>one or more pixels simultaneously in different threads of execution</li>
     92   <li>all the pixels in memory to take advantage of speed-ups offered by executing in concert across heterogeneous platforms consisting of CPUs, GPUs, and other processors</li>
     93 </ul>
     94 
     95 <p>Some images include a clip mask that define which pixels are eligible to be updated.  Pixels outside the area defined by the clip mask remain untouched.</p>
     96 
     97 <p>Given the varied image formats and image processing requirements, we implemented the ImageMagick <a href="architecture.html#cache">pixel cache</a> to provide convenient sequential or parallel access to any pixel on demand anywhere inside the image region (i.e. <a href="architecture.html#authentic-pixels">authentic pixels</a>)  and from any image in a sequence.  In addition, the pixel cache permits access to pixels outside the boundaries defined by the image (i.e. <a href="architecture.html#virtual-pixels">virtual pixels</a>).</p>
     98 
     99 <p>In addition to pixels, images have a plethora of <a href="architecture.html#properties">image properties and profiles</a>.  Properties include the well known attributes such as width, height, depth, and colorspace.  An image may have optional properties which might include the image author, a comment, a create date, and others.  Some images also include profiles for color management, or EXIF, IPTC, 8BIM, or XMP informational profiles.  ImageMagick provides command line options and programming methods to get, set, or view image properties or profiles or apply profiles.</p>
    100 
    101 <p>ImageMagick consists of nearly a half million lines of C code and optionally depends on several million lines of code in dependent libraries (e.g. JPEG, PNG, TIFF libraries).  Given that, one might expect a huge architecture document.  However, a great majority of image processing is simply accessing pixels and its metadata and our simple, elegant, and efficient implementation makes this easy for the ImageMagick developer.  We discuss the implementation of the pixel cache and getting and setting image properties and profiles in the next few sections. Next, we discuss using ImageMagick within a <a href="architecture.html#threads">thread</a> of execution.  In the final sections, we discuss <a href="architecture.html#coders">image coders</a> to read or write a particular image format followed by a few words on creating a <a href="architecture.html#filters">filter</a> to access or update pixels based on your custom requirements.</p>
    102 
    103 <h2 class="magick-header"><a id="cache"></a>The Pixel Cache</h2>
    104 
    105 <p>The ImageMagick pixel cache is a repository for image pixels with up to 32 channels.  The channels are stored contiguously at the depth specified when ImageMagick was built.  The channel depths are 8 bits-per-pixel component for the Q8 version of ImageMagick, 16 bits-per-pixel component for the Q16 version, and 32 bits-per-pixel component for the Q32 version.  By default pixel components are 32-bit floating-bit <a href="high-dynamic-range.html">high dynamic-range</a> quantities. The channels can hold any value but typically contain red, green, blue, and alpha intensities or cyan, magenta, yellow, alpha intensities.  A channel might contain the colormap indexes for colormapped images or the black channel for CMYK images.  The pixel cache storage may be heap memory, disk-backed memory mapped, or on disk.  The pixel cache is reference-counted.  Only the cache properties are copied when the cache is cloned.  The cache pixels are subsequently copied only when you signal your intention to update any of the pixels.</p>
    106 
    107 <h3>Create the Pixel Cache</h3>
    108 
    109 <p>The pixel cache is associated with an image when it is created and it is initialized when you try to get or put pixels.  Here are three common methods to associate a pixel cache with an image:</p>
    110 
    111 <dl>
    112 <dt>Create an image canvas initialized to the background color:</dt><br/>
    113 <dd><pre>image=AllocateImage(image_info);
    114 if (SetImageExtent(image,640,480) == MagickFalse)
    115   { /* an exception was thrown */ }
    116 (void) QueryMagickColor("red",&amp;image-&gt;background_color,&amp;image-&gt;exception);
    117 SetImageBackgroundColor(image);
    118 </pre></dd>
    119 
    120 <dt>Create an image from a JPEG image on disk:</dt><br/>
    121 <dd><pre>(void) strcpy(image_info-&gt;filename,"image.jpg"):
    122 image=ReadImage(image_info,exception);
    123 if (image == (Image *) NULL)
    124   { /* an exception was thrown */ }
    125 </pre></dd>
    126 <dt>Create an image from a memory based image:</dt><br/>
    127 <dd><pre>image=BlobToImage(blob_info,blob,extent,exception);
    128 if (image == (Image *) NULL)
    129   { /* an exception was thrown */ }
    130 </pre></dd>
    131 </dl>
    132 
    133 <p>In our discussion of the pixel cache, we use the <a href="magick-core.html">MagickCore API</a> to illustrate our points, however, the principles are the same for other program interfaces to ImageMagick.</p>
    134 
    135 <p>When the pixel cache is initialized, pixels are scaled from whatever bit depth they originated from to that required by the pixel cache.  For example, a 1-channel 1-bit monochrome PBM image is scaled to 8-bit gray image, if you are using the Q8 version of ImageMagick, and 16-bit RGBA for the Q16 version.  You can determine which version you have with the <a href="command-line-options.html#version">&#x2011;version</a> option: </p>
    136 
    137 <pre><span class="crtprompt"> </span><span class='crtin'>identify -version</span><span class='crtout'>Version: ImageMagick 7.0.2-0 2016-06-08 Q16 http://www.imagemagick.org</span></pre>
    138 <p>As you can see, the convenience of the pixel cache sometimes comes with a trade-off in storage (e.g. storing a 1-bit monochrome image as 16-bit is wasteful) and speed (i.e. storing the entire image in memory is generally slower than accessing one scanline of pixels at a time).  In most cases, the benefits of the pixel cache typically outweigh any disadvantages.</p>
    139 
    140 <h3><a id="authentic-pixels"></a>Access the Pixel Cache</h3>
    141 
    142 <p>Once the pixel cache is associated with an image, you typically want to get, update, or put pixels into it.  We refer to pixels inside the image region as <a href="architecture.html#authentic-pixels">authentic pixels</a> and outside the region as <a href="architecture.html#virtual-pixels">virtual pixels</a>.  Use these methods to access the pixels in the cache:</p>
    143 <ul>
    144   <li><a href="api/cache.html#GetVirtualPixels">GetVirtualPixels()</a>: gets pixels that you do not intend to modify or pixels that lie outside the image region (e.g. pixel @ -1,-3)</li>
    145   <li><a href="api/cache.html#GetAuthenticPixels">GetAuthenticPixels()</a>: gets pixels that you intend to modify</li>
    146   <li><a href="api/cache.html#QueueAuthenticPixels">QueueAuthenticPixels()</a>: queue pixels that you intend to set</li>
    147   <li><a href="api/cache.html#SyncAuthenticPixels">SyncAuthenticPixels()</a>: update the pixel cache with any modified pixels</li>
    148 </ul>
    149 
    150 <p>Here is a typical <a href="magick-core.html">MagickCore</a> code snippet for manipulating pixels in the pixel cache.  In our example, we copy pixels from the input image to the output image and decrease the intensity by 10%:</p>
    151 
    152 <pre class="pre-scrollable">const Quantum
    153   *p;
    154 
    155 Quantum
    156   *q;
    157 
    158 ssize_t
    159   x,
    160   y;
    161 
    162 destination=CloneImage(source,source->columns,source->rows,MagickTrue,
    163   exception);
    164 if (destination == (Image *) NULL)
    165   { /* an exception was thrown */ }
    166 for (y=0; y &lt; (ssize_t) source-&gt;rows; y++)
    167 {
    168   p=GetVirtualPixels(source,0,y,source-&gt;columns,1,exception);
    169   q=GetAuthenticPixels(destination,0,y,destination-&gt;columns,1,exception);
    170   if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL)
    171     break;
    172   for (x=0; x &lt; (ssize_t) source-&gt;columns; x++)
    173   {
    174     SetPixelRed(image,90*p-&gt;red/100,q);
    175     SetPixelGreen(image,90*p-&gt;green/100,q);
    176     SetPixelBlue(image,90*p-&gt;blue/100,q);
    177     SetPixelAlpha(image,90*p-&gt;opacity/100,q);
    178     p+=GetPixelChannels(source);
    179     q+=GetPixelChannels(destination);
    180   }
    181   if (SyncAuthenticPixels(destination,exception) == MagickFalse)
    182     break;
    183 }
    184 if (y &lt; (ssize_t) source-&gt;rows)
    185   { /* an exception was thrown */ }
    186 </pre>
    187 
    188 <p>When we first create the destination image by cloning the source image, the pixel cache pixels are not copied.  They are only copied when you signal your intentions to modify or set the pixel cache by calling <a href="api/cache.html#GetAuthenticPixels">GetAuthenticPixels()</a> or <a href="api/cache.html#QueueAuthenticPixels">QueueAuthenticPixels()</a>. Use <a href="api/cache.html#QueueAuthenticPixels">QueueAuthenticPixels()</a> if you want to set new pixel values rather than update existing ones.  You could use GetAuthenticPixels() to set pixel values but it is slightly more efficient to use QueueAuthenticPixels() instead. Finally, use <a href="api/cache.html#SyncAuthenticPixels">SyncAuthenticPixels()</a> to ensure any updated pixels are pushed to the pixel cache.</p>
    189 
    190 <p>Recall how we mentioned that the indexes of a colormapped image or the black channel of a CMYK image are stored separately.  Use  <a href="api/cache.html#GetVirtualIndexQueue">GetVirtualIndexQueue()</a> (to read the indexes) or <a href="api/cache.html#GetAuthenticIndexQueue">GetAuthenticIndexQueue()</a> (to update the indexes) to gain access to this channel.  For example, to print the colormap indexes, use:</p>
    191 
    192 <pre>const IndexPacket
    193   *indexes;
    194 
    195 for (y=0; y &lt; (ssize_t) source-&gt;rows; y++)
    196 {
    197   p=GetVirtualPixels(source,0,y,source-&gt;columns,1);
    198   if (p == (const Quantum *) NULL)
    199     break;
    200   indexes=GetVirtualIndexQueue(source);
    201   for (x=0; x &lt; (ssize_t) source-&gt;columns; x++)
    202     (void) printf("%d\n",GetPixelIndex(indexes+x));
    203 }
    204 if (y &lt; (ssize_t) source-&gt;rows)
    205   /* an exception was thrown */
    206 </pre>
    207 
    208 <p>The pixel cache manager decides whether to give you direct or indirect access to the image pixels.  In some cases the pixels are staged to an intermediate buffer-- and that is why you must call SyncAuthenticPixels() to ensure this buffer is <var>pushed</var> out to the pixel cache to guarantee the corresponding pixels in the cache are updated.  For this reason we recommend that you only read or update a scanline or a few scanlines of pixels at a time.  However, you can get any rectangular region of pixels you want.  GetAuthenticPixels() requires that the region you request is within the bounds of the image area.  For a 640 by 480 image, you can get a scanline of 640 pixels at row 479 but if you ask for a scanline at row 480, an exception is returned (rows are numbered starting at 0).  GetVirtualPixels() does not have this constraint.  For example,</p>
    209 
    210 <pre>p=GetVirtualPixels(source,-3,-3,source-&gt;columns+3,6,exception);
    211 </pre>
    212 
    213 <p>gives you the pixels you asked for without complaint, even though some are not within the confines of the image region.</p>
    214 
    215 <h3><a id="virtual-pixels"></a>Virtual Pixels</h3>
    216 
    217 <p>There are a plethora of image processing algorithms that require a neighborhood of pixels about a pixel of interest.  The algorithm typically includes a caveat concerning how to handle pixels around the image boundaries, known as edge pixels.  With virtual pixels, you do not need to concern yourself about special edge processing other than choosing  which virtual pixel method is most appropriate for your algorithm.</p>
    218  <p>Access to the virtual pixels are controlled by the <a href="api/cache.html#SetImageVirtualPixelMethod">SetImageVirtualPixelMethod()</a> method from the MagickCore API or the <a href="command-line-options.html#virtual-pixel">&#x2011;virtual&#x2011;pixel</a> option from the command line.  The methods include:</p>
    219 
    220 <dl class="dl-horizontal">
    221 <dt>background</dt>
    222 <dd>the area surrounding the image is the background color</dd>
    223 <dt>black</dt>
    224 <dd>the area surrounding the image is black</dd>
    225 <dt>checker-tile</dt>
    226 <dd>alternate squares with image and background color</dd>
    227 <dt>dither</dt>
    228 <dd>non-random 32x32 dithered pattern</dd>
    229 <dt>edge</dt>
    230 <dd>extend the edge pixel toward infinity (default)</dd>
    231 <dt>gray</dt>
    232 <dd>the area surrounding the image is gray</dd>
    233 <dt>horizontal-tile</dt>
    234 <dd>horizontally tile the image, background color above/below</dd>
    235 <dt>horizontal-tile-edge</dt>
    236 <dd>horizontally tile the image and replicate the side edge pixels</dd>
    237 <dt>mirror</dt>
    238 <dd>mirror tile the image</dd>
    239 <dt>random</dt>
    240 <dd>choose a random pixel from the image</dd>
    241 <dt>tile</dt>
    242 <dd>tile the image</dd>
    243 <dt>transparent</dt>
    244 <dd>the area surrounding the image is transparent blackness</dd>
    245 <dt>vertical-tile</dt>
    246 <dd>vertically tile the image, sides are background color</dd>
    247 <dt>vertical-tile-edge</dt>
    248 <dd>vertically tile the image and replicate the side edge pixels</dd>
    249 <dt>white</dt>
    250 <dd>the area surrounding the image is white</dd>
    251 </dl>
    252 
    253 
    254 <h3>Cache Storage and Resource Requirements</h3>
    255 
    256 <p>Recall that this simple and elegant design of the ImageMagick pixel cache comes at a cost in terms of storage and processing speed.  The pixel cache storage requirements scales with the area of the image and the bit depth of the pixel components.  For example, if we have a 640 by 480 image and we are using the Q16 version of ImageMagick, the pixel cache consumes image <var>width * height * bit-depth / 8 * channels</var> bytes or approximately 2.3 mebibytes (i.e. 640 * 480 * 2 * 4).  Not too bad, but what if your image is 25000 by 25000 pixels?  The pixel cache requires approximately 4.7 gibibytes of storage.  Ouch.  ImageMagick accounts for possible huge storage requirements by caching large images to disk rather than memory.  Typically the pixel cache is stored in memory using heap memory. If heap memory is exhausted, we create the pixel cache on disk and attempt to memory-map it. If memory-map memory is exhausted, we simply use standard disk I/O.  Disk storage is cheap but it is also very slow, upwards of 1000 times slower than memory.  We can get some speed improvements, up to 5 times, if we use memory mapping to the disk-based cache.  These decisions about storage are made <var>automagically</var> by the pixel cache manager negotiating with the operating system.  However, you can influence how the pixel cache manager allocates the pixel cache with <var>cache resource limits</var>.  The limits include:</p>
    257 
    258 <dl class="dl-horizontal">
    259   <dt>width</dt>
    260   <dd>maximum width of an image.  Exceed this limit and an exception is thrown and processing stops.</dd>
    261   <dt>height</dt>
    262   <dd>maximum height of an image.  Exceed this limit and an exception is thrown and processing stops.</dd>
    263   <dt>area</dt>
    264   <dd>maximum area in bytes of any one image that can reside in the pixel cache memory.  If this limit is exceeded, the image is automagically cached to disk and optionally memory-mapped.</dd>
    265   <dt>memory</dt>
    266   <dd>maximum amount of memory in bytes to allocate for the pixel cache from the heap.</dd>
    267   <dt>map</dt>
    268   <dd>maximum amount of memory map in bytes to allocate for the pixel cache.</dd>
    269   <dt>disk</dt>
    270   <dd>maximum amount of disk space in bytes permitted for use by the pixel cache.  If this limit is exceeded, the pixel cache is not created and a fatal exception is thrown.</dd>
    271   <dt>files</dt>
    272   <dd>maximum number of open pixel cache files.  When this limit is exceeded, any subsequent pixels cached to disk are closed and reopened on demand. This behavior permits a large number of images to be accessed simultaneously on disk, but without a speed penalty due to repeated open/close calls.</dd>
    273   <dt>thread</dt>
    274   <dd>maximum number of threads that are permitted to run in parallel.</dd>
    275   <dt>time</dt>
    276   <dd>maximum number of seconds that the process is permitted to execute.  Exceed this limit and an exception is thrown and processing stops.</dd>
    277 </dl>
    278 
    279 <p>To determine the current setting of these limits, use this command:</p>
    280 
    281 <pre>
    282 -> identify -list resource
    283 Resource limits:
    284   Width: 100MP
    285   Height: 100MP
    286   Area: 25.181GB
    287   Memory: 11.726GiB
    288   Map: 23.452GiB
    289   Disk: unlimited
    290   File: 768
    291   Thread: 12
    292   Throttle: 0
    293   Time: unlimited
    294 </pre>
    295 
    296 <p>You can set these limits either as a <a href="resources.html#configure">policy</a> (see <a href="../source/policy.xml">policy.xml</a>), with an <a href="resources.html#environment">environment variable</a>, with the <a href="command-line-options.html#limit">-limit</a> command line option, or with the <a href="api/resource.html#SetMagickResourceLimit">SetMagickResourceLimit()</a> MagickCore API method. As an example, our online web interface to ImageMagick, <a href="http://www.imagemagick.org/MagickStudio/scripts/MagickStudio.cgi">ImageMagick Studio</a>, includes these policy limits to help prevent a denial-of-service:</p>
    297 <pre>
    298 &lt;policymap>
    299   &lt;policy domain="resource" name="temporary-path" value="/tmp"/>
    300   &lt;policy domain="resource" name="memory" value="256MiB"/>
    301   &lt;policy domain="resource" name="map" value="512MiB"/>
    302   &lt;policy domain="resource" name="width" value="8KP"/>
    303   &lt;policy domain="resource" name="height" value="8KP"/>
    304   &lt;policy domain="resource" name="area" value="128MB"/>
    305   &lt;policy domain="resource" name="disk" value="1GiB"/>
    306   &lt;policy domain="resource" name="file" value="768"/>
    307   &lt;policy domain="resource" name="thread" value="2"/>
    308   &lt;policy domain="resource" name="throttle" value="0"/>
    309   &lt;policy domain="resource" name="time" value="120"/>
    310   &lt;policy domain="system" name="precision" value="6"/>
    311   &lt;policy domain="cache" name="shared-secret" value="replace with your secret phrase" stealth="true"/>
    312   &lt;policy domain="delegate" rights="none" pattern="HTTPS" />
    313   &lt;policy domain="path" rights="none" pattern="@*"/>  &lt;!-- indirect reads not permitted -->
    314 &lt;/policymap>
    315 </pre>
    316 <p>Since we process multiple simultaneous sessions, we don't want any one session consuming all the available memory.With this policy, large images are cached to disk. If the image is too large and exceeds the pixel cache disk limit, the program exits. In addition, we place a time limit to prevent any run-away processing tasks. If any one image has a width or height that exceeds 8192 pixels, an exception is thrown and processing stops. As of ImageMagick 7.0.1-8 you can prevent the use of any delegate or all delegates (set the pattern to "*"). Note, prior to this release, use a domain of "coder" to prevent delegate usage (e.g. domain="coder" rights="none" pattern="HTTPS"). The policy also prevents indirect reads.  If you want to, for example, read text from a file (e.g. caption:@myCaption.txt), you'll need to remove this policy.</p>
    317 
    318 <p>Note, the cache limits are global to each invocation of ImageMagick, meaning if you create several images, the combined resource requirements are compared to the limit to determine the pixel cache storage disposition.</p>
    319 
    320 <p>To determine which type and how much resources are consumed by the pixel cache, add the <a href="command-line-options.html#debug">-debug cache</a> option to the command-line:</p>
    321 <pre>-> convert -debug cache logo: -sharpen 3x2 null:
    322 2016-12-17T13:33:42-05:00 0:00.000 0.000u 7.0.0 Cache convert: cache.c/DestroyPixelCache/1275/Cache
    323   destroy 
    324 2016-12-17T13:33:42-05:00 0:00.000 0.000u 7.0.0 Cache convert: cache.c/OpenPixelCache/3834/Cache
    325   open LOGO[0] (Heap Memory, 640x480x4 4.688MiB)
    326 2016-12-17T13:33:42-05:00 0:00.010 0.000u 7.0.0 Cache convert: cache.c/OpenPixelCache/3834/Cache
    327   open LOGO[0] (Heap Memory, 640x480x3 3.516MiB)
    328 2016-12-17T13:33:42-05:00 0:00.010 0.000u 7.0.0 Cache convert: cache.c/ClonePixelCachePixels/1044/Cache
    329   Memory => Memory
    330 2016-12-17T13:33:42-05:00 0:00.020 0.010u 7.0.0 Cache convert: cache.c/ClonePixelCachePixels/1044/Cache
    331   Memory => Memory
    332 2016-12-17T13:33:42-05:00 0:00.020 0.010u 7.0.0 Cache convert: cache.c/OpenPixelCache/3834/Cache
    333   open LOGO[0] (Heap Memory, 640x480x3 3.516MiB)
    334 2016-12-17T13:33:42-05:00 0:00.050 0.100u 7.0.0 Cache convert: cache.c/DestroyPixelCache/1275/Cache
    335   destroy LOGO[0]
    336 2016-12-17T13:33:42-05:00 0:00.050 0.100u 7.0.0 Cache convert: cache.c/DestroyPixelCache/1275/Cache
    337   destroy LOGO[0]
    338 </pre>
    339 <p>This command utilizes a pixel cache in memory.  The logo consumed 4.688MiB and after it was sharpened, 3.516MiB.</p>
    340 
    341 
    342 <h3>Distributed Pixel Cache</h3>
    343 <p>A distributed pixel cache is an extension of the traditional pixel cache available on a single host.  The distributed pixel cache may span multiple servers so that it can grow in size and transactional capacity to support very large images.  Start up the pixel cache server on one or more machines.  When you read or operate on an image and the local pixel cache resources are exhausted, ImageMagick contacts one or more of these remote pixel servers to store or retrieve pixels.  The distributed pixel cache relies on network bandwidth to marshal pixels to and from the remote server.  As such, it will likely be significantly slower than a pixel cache utilizing local storage (e.g. memory, disk, etc.).</p>
    344 <pre>
    345 convert -distribute-cache 6668 &amp;  // start on 192.168.100.50
    346 convert -define registry:cache:hosts=192.168.100.50:6668 myimage.jpg -sharpen 5x2 mimage.png
    347 </pre>
    348 
    349 <h3>Cache Views</h3>
    350 
    351 <p>GetVirtualPixels(), GetAuthenticPixels(), QueueAuthenticPixels(), and SyncAuthenticPixels(), from the MagickCore API, can only deal with one pixel cache area per image at a time.  Suppose you want to access the first and last scanline from the same image at the same time?  The solution is to use a <var>cache view</var>.  A cache view permits you to access as many areas simultaneously in the pixel cache as you require.  The cache view <a href="api/cache-view.html">methods</a> are analogous to the previous methods except you must first open a view and close it when you are finished with it. Here is a snippet of MagickCore code that permits us to access the first and last pixel row of the image simultaneously:</p>
    352 
    353 <pre class="pre-scrollable">CacheView
    354   *view_1,
    355   *view_2;
    356 
    357 view_1=AcquireVirtualCacheView(source,exception);
    358 view_2=AcquireVirtualCacheView(source,exception);
    359 for (y=0; y &lt; (ssize_t) source-&gt;rows; y++)
    360 {
    361   u=GetCacheViewVirtualPixels(view_1,0,y,source-&gt;columns,1,exception);
    362   v=GetCacheViewVirtualPixels(view_2,0,source-&gt;rows-y-1,source-&gt;columns,1,exception);
    363   if ((u == (const Quantum *) NULL) || (v == (const Quantum *) NULL))
    364     break;
    365   for (x=0; x &lt; (ssize_t) source-&gt;columns; x++)
    366   {
    367     /* do something with u &amp; v here */
    368   }
    369 }
    370 view_2=DestroyCacheView(view_2);
    371 view_1=DestroyCacheView(view_1);
    372 if (y &lt; (ssize_t) source-&gt;rows)
    373   { /* an exception was thrown */ }
    374 </pre>
    375 
    376 <h3>Magick Persistent Cache Format</h3>
    377 
    378 <p>Recall that each image format is decoded by ImageMagick and the pixels are deposited in the pixel cache.  If you write an image, the pixels are read from the pixel cache and encoded as required by the format you are writing (e.g. GIF, PNG, etc.).  The Magick Persistent Cache (MPC) format is designed to eliminate the overhead of decoding and encoding pixels to and from an image format.  MPC writes two files.  One, with the extension <code>.mpc</code>, retains all the properties associated with the image or image sequence (e.g. width, height, colorspace, etc.) and the second, with the extension <code>.cache</code>, is the pixel cache in the native raw format.  When reading an MPC image file, ImageMagick reads the image properties and memory maps the pixel cache on disk eliminating the need for decoding the image pixels.  The tradeoff is in disk space.  MPC is generally larger in file size than most other image formats.</p>
    379 <p>The most efficient use of MPC image files is a write-once, read-many-times pattern.  For example, your workflow requires extracting random blocks of pixels from the source image.  Rather than re-reading and possibly decompressing the source image each time, we use MPC and map the image directly to memory.</p>
    380 
    381 <h3>Best Practices</h3>
    382 
    383 <p>Although you can request any pixel from the pixel cache, any block of pixels, any scanline, multiple scanlines, any row, or multiple rows with the GetVirtualPixels(), GetAuthenticPixels(), QueueAuthenticPixels, GetCacheViewVirtualPixels(), GetCacheViewAuthenticPixels(), and QueueCacheViewAuthenticPixels() methods, ImageMagick is optimized to return a few pixels or a few pixels rows at time.  There are additional optimizations if you request a single scanline or a few scanlines at a time.  These methods also permit random access to the pixel cache, however, ImageMagick is optimized for sequential access.  Although you can access scanlines of pixels sequentially from the last row of the image to the first, you may get a performance boost if you access scanlines from the first row of the image to the last, in sequential order.</p>
    384 
    385 <p>You can get, modify, or set pixels in row or column order.  However, it is more efficient to access the pixels by row rather than by column.</p>
    386 
    387 <p>If you update pixels returned from GetAuthenticPixels() or GetCacheViewAuthenticPixels(), don't forget to call SyncAuthenticPixels() or SyncCacheViewAuthenticPixels() respectively to ensure your changes are synchronized with the pixel cache.</p>
    388 
    389 <p>Use QueueAuthenticPixels() or QueueCacheViewAuthenticPixels() if you are setting an initial pixel value.  The GetAuthenticPixels() or GetCacheViewAuthenticPixels() method reads pixels from the cache and if you are setting an initial pixel value, this read is unnecessary. Don't forget to call SyncAuthenticPixels() or SyncCacheViewAuthenticPixels() respectively to push any pixel changes to the pixel cache.</p>
    390 
    391 <p>GetVirtualPixels(), GetAuthenticPixels(), QueueAuthenticPixels(), and SyncAuthenticPixels() are slightly more efficient than their cache view counter-parts.  However, cache views are required if you need access to more than one region of the image simultaneously or if more than one <a href="architecture.html#threads">thread of execution</a> is accessing the image.</p>
    392 
    393 <p>You can request pixels outside the bounds of the image with GetVirtualPixels() or GetCacheViewVirtualPixels(), however, it is more efficient to request pixels within the confines of the image region.</p>
    394 
    395 <p>Although you can force the pixel cache to disk using appropriate resource limits, disk access can be upwards of 1000 times slower than memory access.  For fast, efficient, access to the pixel cache, try to keep the pixel cache in heap memory.</p>
    396 
    397 <p>The ImageMagick Q16 version of ImageMagick permits you to read and write 16 bit images without scaling but the pixel cache consumes twice as many resources as the Q8 version.  If your system has constrained memory or disk resources, consider the Q8 version of ImageMagick.  In addition, the Q8 version typically executes faster than the Q16 version.</p>
    398 
    399 <p>A great majority of image formats and algorithms restrict themselves to a fixed range of pixel values from 0 to some maximum value, for example, the Q16 version of ImageMagick permit intensities from 0 to 65535.  High dynamic-range imaging (HDRI), however, permits a far greater dynamic range of exposures (i.e. a large difference between light and dark areas) than standard digital imaging techniques. HDRI accurately represents the wide range of intensity levels found in real scenes ranging from the brightest direct sunlight to the deepest darkest shadows.  Enable <a href="high-dynamic-range.html">HDRI</a> at ImageMagick build time to deal with high dynamic-range images, but be mindful that each pixel component is a 32-bit floating point value. In addition, pixel values are not clamped by default so some algorithms may have unexpected results due to out-of-band pixel values than the non-HDRI version.</p>
    400 
    401 <p>If you are dealing with large images, make sure the pixel cache is written to a disk area with plenty of free space.  Under Unix, this is typically <code>/tmp</code> and for Windows, <code>c:/temp</code>.  You can tell ImageMagick to write the pixel cache to an alternate location and conserve memory with these options:</p>
    402 
    403 <pre>
    404 convert -limit memory 2GB -limit map 4GB -define registry:temporary-path=/data/tmp ...
    405 </pre>
    406 
    407 <p>Set global resource limits for your environment in the <code>policy.xml</code> configuration file.</p>
    408 
    409 <p>If you plan on processing the same image many times, consider the MPC format.  Reading a MPC image has near-zero overhead because its in the native pixel cache format eliminating the need for decoding the image pixels.  Here is an example:</p>
    410 
    411 <pre>
    412 convert image.tif image.mpc
    413 convert image.mpc -crop 100x100+0+0 +repage 1.png
    414 convert image.mpc -crop 100x100+100+0 +repage 2.png
    415 convert image.mpc -crop 100x100+200+0 +repage 3.png
    416 </pre>
    417 
    418 <p>MPC is ideal for web sites.  It reduces the overhead of reading and writing an image.  We use it exclusively at our <a href="http://www.imagemagick.org/MagickStudio/scripts/MagickStudio.cgi">online image studio</a>.</p>
    419 
    420 <h2 class="magick-header"><a id="stream"></a>Streaming Pixels</h2>
    421 
    422 <p>ImageMagick provides for streaming pixels as they are read from or written to an image.  This has several advantages over the pixel cache.  The time and resources consumed by the pixel cache scale with the area of an image, whereas the pixel stream resources scale with the width of an image.  The disadvantage is the pixels must be consumed as they are streamed so there is no persistence.</p>
    423 
    424 <p>Use <a href="api/stream.html#ReadStream">ReadStream()</a> or <a href="api/stream.html#WriteStream">WriteStream()</a> with an appropriate callback method in your MagickCore program to consume the pixels as they are streaming.  Here's an abbreviated example of using ReadStream:</p>
    425 
    426 <pre class="pre-scrollable">static size_t StreamPixels(const Image *image,const void *pixels,const size_t columns)
    427 {
    428   register const Quantum
    429     *p;
    430 
    431   MyData
    432     *my_data;
    433 
    434   my_data=(MyData *) image->client_data;
    435   p=(Quantum *) pixels;
    436   if (p != (const Quantum *) NULL)
    437     {
    438       /* process pixels here */
    439     }
    440   return(columns);
    441 }
    442 
    443 ...
    444 
    445 /* invoke the pixel stream here */
    446 image_info->client_data=(void *) MyData;
    447 image=ReadStream(image_info,&amp;StreamPixels,exception);
    448 </pre>
    449 
    450 <p>We also provide a lightweight tool, <a href="stream.html">stream</a>, to stream one or more pixel components of the image or portion of the image to your choice of storage formats.  It writes the pixel components as they are read from the input image a row at a time making <a href="stream.html">stream</a> desirable when working with large images or when you require raw pixel components.  A majority of the image formats stream pixels (red, green, and blue) from left to right and top to bottom.  However, a few formats do not support this common ordering (e.g. the PSD format).</p>
    451 
    452 <h2 class="magick-header"><a id="properties"></a>Image Properties and Profiles</h2>
    453 
    454 <p>Images have metadata associated with them in the form of properties (e.g. width, height, description, etc.) and profiles (e.g. EXIF, IPTC, color management).  ImageMagick provides convenient methods to get, set, or update image properties and get, set, update, or apply profiles.  Some of the more popular image properties are associated with the Image structure in the MagickCore API.  For example:</p>
    455 
    456 <pre>(void) printf("image width: %lu, height: %lu\n",image-&gt;columns,image-&gt;rows);
    457 </pre>
    458 
    459 <p>For a great majority of image properties, such as an image comment or description, we use the <a href="api/property.html#GetImageProperty">GetImageProperty()</a> and <a href="api/property.html#SetImageProperty">SetImageProperty()</a> methods.  Here we set a property and fetch it right back:</p>
    460 
    461 <pre>const char
    462   *comment;
    463 
    464 (void) SetImageProperty(image,"comment","This space for rent");
    465 comment=GetImageProperty(image,"comment");
    466 if (comment == (const char *) NULL)
    467   (void) printf("Image comment: %s\n",comment);
    468 </pre>
    469 
    470 <p>ImageMagick supports artifacts with the GetImageArtifact() and SetImageArtifact() methods.  Artifacts are stealth properties that are not exported to image formats (e.g. PNG).</p>
    471 
    472 <p>Image profiles are handled with <a href="api/profile.html#GetImageProfile">GetImageProfile()</a>, <a href="api/profile.html#SetImageProfile">SetImageProfile()</a>, and <a href="api/profile.html#ProfileImage">ProfileImage()</a> methods.  Here we set a profile and fetch it right back:</p>
    473 
    474 <pre>StringInfo
    475   *profile;
    476 
    477 profile=AcquireStringInfo(length);
    478 SetStringInfoDatum(profile,my_exif_profile);
    479 (void) SetImageProfile(image,"EXIF",profile);
    480 DestroyStringInfo(profile);
    481 profile=GetImageProfile(image,"EXIF");
    482 if (profile != (StringInfo *) NULL)
    483   (void) PrintStringInfo(stdout,"EXIF",profile);
    484 </pre>
    485 
    486 <h2 class="magick-header"><a id="tera-pixel"></a>Large Image Support</h2>
    487 <p>ImageMagick can read, process, or write mega-, giga-, or tera-pixel image sizes.  An image width or height can range from 1 to 2 giga-pixels on a 32 bit OS and up to 9 exa-pixels on a 64-bit OS.  Note, that some image formats have restrictions on image size.  For example, Photoshop images are limited to 300,000 pixels for width or height.  Here we resize an image to a quarter million pixels square:</p>
    488 
    489 <pre>
    490 convert logo: -resize 250000x250000 logo.miff
    491 </pre>
    492 
    493 <p>For large images, ImageMagick will likely create a pixel cache on disk.  Make sure you have plenty of temporary disk space.  If your default temporary disk partition is too small, tell ImageMagick to use another partition with plenty of free space.  For example:</p>
    494 
    495 <pre>
    496 convert -define registry:temporary-path=/data/tmp logo:  \ <br/>     -resize 250000x250000 logo.miff
    497 </pre>
    498 
    499 <p>To ensure large images do not consume all the memory on your system, force the image pixels to memory-mapped disk with resource limits:</p>
    500 
    501 <pre>
    502 convert -define registry:temporary-path=/data/tmp -limit memory 16mb \
    503   logo: -resize 250000x250000 logo.miff
    504 </pre>
    505 
    506 <p>Here we force all image pixels to disk:</p>
    507 
    508 <pre>
    509 convert -define registry:temporary-path=/data/tmp -limit area 0 \
    510   logo: -resize 250000x250000 logo.miff
    511 </pre>
    512 
    513 <p>Caching pixels to disk is about 1000 times slower than memory.  Expect long run times when processing large images on disk with ImageMagick.  You can monitor progress with this command:</p>
    514 
    515 <pre>convert -monitor -limit memory 2GiB -limit map 4GiB -define registry:temporary-path=/data/tmp \
    516   logo: -resize 250000x250000 logo.miff
    517 </pre>
    518 
    519 <p>For really large images, or if there is limited resources on your host, you can utilize a distributed pixel cache on one or more remote hosts:</p>
    520 <pre>
    521 convert -distribute-cache 6668 &amp;  // start on 192.168.100.50
    522 convert -distribute-cache 6668 &amp;  // start on 192.168.100.51
    523 convert -limit memory 2mb -limit map 2mb -limit disk 2gb \
    524   -define registry:cache:hosts=192.168.100.50:6668,192.168.100.51:6668 \
    525   myhugeimage.jpg -sharpen 5x2 myhugeimage.png
    526 </pre>
    527 
    528 <h2 class="magick-header"><a id="threads"></a>Threads of Execution</h2>
    529 
    530 <p>Many of ImageMagick's internal algorithms are threaded to take advantage of speed-ups offered by the multicore processor chips. However, you are welcome to use ImageMagick algorithms in your threads of execution with the exception of the MagickCore's GetVirtualPixels(), GetAuthenticPixels(), QueueAuthenticPixels(), or SyncAuthenticPixels() pixel cache methods.  These methods are intended for one thread of execution only with the exception of an OpenMP parallel section.  To access the pixel cache with more than one thread of execution, use a cache view.  We do this for the <a href="api/composite.html#CompositeImage">CompositeImage()</a> method, for example.  Suppose we want to composite a single image over a different image in each thread of execution.  If we use GetVirtualPixels(), the results are unpredictable because multiple threads would likely be asking for different areas of the pixel cache simultaneously.  Instead we use GetCacheViewVirtualPixels() which creates a unique view for each thread of execution ensuring our program behaves properly regardless of how many threads are invoked.  The other program interfaces, such as the <a href="magick-wand.html">MagickWand API</a>, are completely thread safe so there are no special precautions for threads of execution.</p>
    531 
    532 <p>Here is an MagickCore code snippet that takes advantage of threads of execution with the <a href="openmp.html">OpenMP</a> programming paradigm:</p>
    533 
    534 <pre class="pre-scrollable">CacheView
    535   *image_view;
    536 
    537 MagickBooleanType
    538   status;
    539 
    540 ssize_t
    541   y;
    542 
    543 status=MagickTrue;
    544 image_view=AcquireVirtualCacheView(image,exception);
    545 #pragma omp parallel for schedule(dynamic,4) shared(status)
    546 for (y=0; y &lt; (ssize_t) image-&gt;rows; y++)
    547 {
    548   register IndexPacket
    549     *indexes;
    550 
    551   register Quantum
    552     *q;
    553 
    554   register ssize_t
    555     x;
    556 
    557   if (status == MagickFalse)
    558     continue;
    559   q=GetCacheViewAuthenticPixels(image_view,0,y,image-&gt;columns,1,exception);
    560   if (q == (Quantum *) NULL)
    561     {
    562       status=MagickFalse;
    563       continue;
    564     }
    565   indexes=GetCacheViewAuthenticIndexQueue(image_view);
    566   for (x=0; x &lt; (ssize_t) image-&gt;columns; x++)
    567   {
    568     SetPixelRed(image,...,q);
    569     SetPixelGreen(image,...,q);
    570     SetPixelBlue(image,...,q);
    571     SetPixelAlpha(image,...,q);
    572     if (indexes != (IndexPacket *) NULL)
    573       SetPixelIndex(indexes+x,...);
    574     q+=GetPixelChannels(image);
    575   }
    576   if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
    577     status=MagickFalse;
    578 }
    579 image_view=DestroyCacheView(image_view);
    580 if (status == MagickFalse)
    581   perror("something went wrong");
    582 </pre>
    583 
    584 <p>This code snippet converts an uncompressed Windows bitmap to a Magick++ image:</p>
    585 
    586 <pre class="pre-scrollable">#include "Magick++.h"
    587 #include &lt;assert.h&gt;
    588 #include "omp.h"
    589 
    590 void ConvertBMPToImage(const BITMAPINFOHEADER *bmp_info,
    591   const unsigned char *restrict pixels,Magick::Image *image)
    592 {
    593   /*
    594     Prepare the image so that we can modify the pixels directly.
    595   */
    596   assert(bmp_info->biCompression == BI_RGB);
    597   assert(bmp_info->biWidth == image->columns());
    598   assert(abs(bmp_info->biHeight) == image->rows());
    599   image->modifyImage();
    600   if (bmp_info->biBitCount == 24)
    601     image->type(MagickCore::TrueColorType);
    602   else
    603     image->type(MagickCore::TrueColorMatteType);
    604   register unsigned int bytes_per_row=bmp_info->biWidth*bmp_info->biBitCount/8;
    605   if (bytes_per_row % 4 != 0) {
    606     bytes_per_row=bytes_per_row+(4-bytes_per_row % 4);  // divisible by 4.
    607   }
    608   /*
    609     Copy all pixel data, row by row.
    610   */
    611   #pragma omp parallel for
    612   for (int y=0; y &lt; int(image->rows()); y++)
    613   {
    614     int
    615       row;
    616 
    617     register const unsigned char
    618       *restrict p;
    619 
    620     register MagickCore::Quantum
    621       *restrict q;
    622 
    623     row=(bmp_info->biHeight > 0) ? (image->rows()-y-1) : y;
    624     p=pixels+row*bytes_per_row;
    625     q=image->setPixels(0,y,image->columns(),1);
    626     for (int x=0; x &lt; int(image->columns()); x++)
    627     {
    628       SetPixelBlue(image,p[0],q);
    629       SetPixelGreen(image,p[1],q);
    630       SetPixelRed(image,p[2],q);
    631       if (bmp_info->biBitCount == 32) {
    632         SetPixelAlpha(image,p[3],q);
    633       }
    634       q+=GetPixelChannels(image);
    635       p+=bmp_info->biBitCount/8;
    636     }
    637     image->syncPixels();  // sync pixels to pixel cache.
    638   }
    639   return;
    640 }</pre>
    641 
    642 <p>If you call the ImageMagick API from your OpenMP-enabled application and you intend to dynamically increase the number of threads available in subsequent parallel regions, be sure to perform the increase <var>before</var> you call the API otherwise ImageMagick may fault.</p>
    643 
    644 <p><a href="api/wand-view.html">MagickWand</a> supports wand views.  A view iterates over the entire, or portion, of the image in parallel and for each row of pixels, it invokes a callback method you provide.  This limits most of your parallel programming activity to just that one module.  There are similar methods in <a href="api/image-view.html">MagickCore</a>.  For an example, see the same sigmoidal contrast algorithm implemented in both <a href="magick-wand.html#wand-view">MagickWand</a> and <a href="magick-core.html#image-view">MagickCore</a>.</p>
    645 
    646 <p>In most circumstances, the default number of threads is set to the number of processor cores on your system for optimal performance.  However, if your system is hyperthreaded or if you are running on a virtual host and only a subset of the processors are available to your server instance, you might get an increase in performance by setting the thread <a href="resources.html#configure">policy</a> or the <a href="resources.html#environment">MAGICK_THREAD_LIMIT</a> environment variable.  For example, your virtual host has 8 processors but only 2 are assigned to your server instance.  The default of 8 threads can cause severe performance problems.  One solution is to limit the number of threads to the available processors in your <a href="../source/policy.xml">policy.xml</a> configuration file:</p>
    647 
    648 <pre>
    649 &lt;policy domain="resource" name="thread" value="2"/>
    650 </pre>
    651 
    652 <p>Or suppose your 12 core hyperthreaded computer defaults to 24 threads.  Set the MAGICK_THREAD_LIMIT environment variable and you will likely get improved performance:</p>
    653 
    654 <pre>
    655 export MAGICK_THREAD_LIMIT=12
    656 </pre>
    657 
    658 <p>The OpenMP committee has not defined the behavior of mixing OpenMP with other threading models such as Posix threads.  However, using modern releases of Linux, OpenMP and Posix threads appear to interoperate without complaint.  If you want to use Posix threads from a program module that calls one of the ImageMagick application programming interfaces (e.g. MagickCore, MagickWand, Magick++, etc.) from Mac OS X or an older Linux release, you may need to disable OpenMP support within ImageMagick.  Add the <code>--disable-openmp</code> option to the configure script command line and rebuild and reinstall ImageMagick.</p>
    659 
    660 <h4>Threading Performance</h4>
    661 <p>It can be difficult to predict behavior in a parallel environment.   Performance might depend on a number of factors including the compiler, the version of the OpenMP library, the processor type, the number of cores, the amount of memory, whether hyperthreading is enabled, the mix of applications that are executing concurrently with ImageMagick, or the particular image-processing algorithm you utilize.  The only way to be certain of optimal performance, in terms of the number of threads, is to benchmark.   ImageMagick includes progressive threading when benchmarking a command and returns the elapsed time and efficiency for one or more threads.  This can help you identify how many threads is the most efficient in your environment.  For this benchmark we sharpen a 1920x1080 image of a model 10 times with 1 to 12 threads:</p>
    662 <pre>
    663 -> convert -bench 10 model.png -sharpen 5x2 null:
    664 Performance[1]: 10i 1.135ips 1.000e 8.760u 0:08.810
    665 Performance[2]: 10i 2.020ips 0.640e 9.190u 0:04.950
    666 Performance[3]: 10i 2.786ips 0.710e 9.400u 0:03.590
    667 Performance[4]: 10i 3.378ips 0.749e 9.580u 0:02.960
    668 Performance[5]: 10i 4.032ips 0.780e 9.580u 0:02.480
    669 Performance[6]: 10i 4.566ips 0.801e 9.640u 0:02.190
    670 Performance[7]: 10i 3.788ips 0.769e 10.980u 0:02.640
    671 Performance[8]: 10i 4.115ips 0.784e 12.030u 0:02.430
    672 Performance[9]: 10i 4.484ips 0.798e 12.860u 0:02.230
    673 Performance[10]: 10i 4.274ips 0.790e 14.830u 0:02.340
    674 Performance[11]: 10i 4.348ips 0.793e 16.500u 0:02.300
    675 Performance[12]: 10i 4.525ips 0.799e 18.320u 0:02.210
    676 </pre>
    677 <p>The sweet spot for this example is 6 threads. This makes sense since there are 6 physical cores.  The other 6 are hyperthreads. It appears that sharpening does not benefit from hyperthreading.</p>
    678 <p>In certain cases, it might be optimal to set the number of threads to 1 or to disable OpenMP completely with the <a href="resources.html#environment">MAGICK_THREAD_LIMIT</a> environment variable, <a href="command-line-options.html#limit">-limit</a> command line option,  or the  <a href="resources.html#configure">policy.xml</a> configuration file.</p>
    679 
    680 <h2 class="magick-header"><a id="distributed"></a>Heterogeneous Distributed Processing</h2>
    681 <p>ImageMagick includes support for heterogeneous distributed processing with the <a href="http://en.wikipedia.org/wiki/OpenCL">OpenCL</a> framework.  OpenCL kernels within ImageMagick permit image processing algorithms to execute across heterogeneous platforms consisting of CPUs, GPUs, and other processors.  Depending on your platform, speed-ups can be an order of magnitude faster than the traditional single CPU.</p>
    682 
    683 <p>First verify that your version of ImageMagick includes support for the OpenCL feature:</p>
    684 
    685 <pre>
    686 identify -version
    687 Features: DPC Cipher Modules OpenCL OpenMP
    688 </pre>
    689 
    690 <p>If so, run this command to realize a significant speed-up for image convolution:</p>
    691 
    692 <pre>
    693 convert image.png -convolve '-1, -1, -1, -1, 9, -1, -1, -1, -1' convolve.png
    694 </pre>
    695 
    696 <p>If an accelerator is not available or if the accelerator fails to respond, ImageMagick reverts to the non-accelerated convolution algorithm.</p>
    697 
    698 <p>Here is an example OpenCL kernel that convolves an image:</p>
    699 
    700 <pre class="pre-scrollable">static inline long ClampToCanvas(const long offset,const ulong range)
    701 {
    702   if (offset &lt; 0L)
    703     return(0L);
    704   if (offset >= range)
    705     return((long) (range-1L));
    706   return(offset);
    707 }
    708 
    709 static inline CLQuantum ClampToQuantum(const float value)
    710 {
    711   if (value &lt; 0.0)
    712     return((CLQuantum) 0);
    713   if (value >= (float) QuantumRange)
    714     return((CLQuantum) QuantumRange);
    715   return((CLQuantum) (value+0.5));
    716 }
    717 
    718 __kernel void Convolve(const __global CLPixelType *source,__constant float *filter,
    719   const ulong width,const ulong height,__global CLPixelType *destination)
    720 {
    721   const ulong columns = get_global_size(0);
    722   const ulong rows = get_global_size(1);
    723 
    724   const long x = get_global_id(0);
    725   const long y = get_global_id(1);
    726 
    727   const float scale = (1.0/QuantumRange);
    728   const long mid_width = (width-1)/2;
    729   const long mid_height = (height-1)/2;
    730   float4 sum = { 0.0, 0.0, 0.0, 0.0 };
    731   float gamma = 0.0;
    732   register ulong i = 0;
    733 
    734   for (long v=(-mid_height); v &lt;= mid_height; v++)
    735   {
    736     for (long u=(-mid_width); u &lt;= mid_width; u++)
    737     {
    738       register const ulong index=ClampToCanvas(y+v,rows)*columns+ClampToCanvas(x+u,
    739         columns);
    740       const float alpha=scale*(QuantumRange-source[index].w);
    741       sum.x+=alpha*filter[i]*source[index].x;
    742       sum.y+=alpha*filter[i]*source[index].y;
    743       sum.z+=alpha*filter[i]*source[index].z;
    744       sum.w+=filter[i]*source[index].w;
    745       gamma+=alpha*filter[i];
    746       i++;
    747     }
    748   }
    749 
    750   gamma=1.0/(fabs(gamma) &lt;= MagickEpsilon ? 1.0 : gamma);
    751   const ulong index=y*columns+x;
    752   destination[index].x=ClampToQuantum(gamma*sum.x);
    753   destination[index].y=ClampToQuantum(gamma*sum.y);
    754   destination[index].z=ClampToQuantum(gamma*sum.z);
    755   destination[index].w=ClampToQuantum(sum.w);
    756 };</pre>
    757 
    758 <p>See <a href="https://github.com/ImageMagick/ImageMagick/tree/ImageMagick-6/magick/accelerate.c">magick/accelerate.c</a> for a complete implementation of image convolution with an OpenCL kernel.</p>
    759 
    760 <p>Note, that under Windows, you might have an issue with TDR (Timeout Detection and Recovery of GPUs). Its purpose is to detect runaway tasks hanging the GPU by using an execution time threshold.  For some older low-end GPUs running the OpenCL filters in ImageMagick, longer execution times might trigger the TDR mechanism and pre-empt the GPU image filter.  When this happens, ImageMagick automatically falls back to the CPU code path and returns the expected results.  To avoid pre-emption, increase the <a href="http://msdn.microsoft.com/en-us/library/windows/hardware/gg487368.aspx">TdrDelay</a> registry key.</p>
    761 
    762 <h2 class="magick-header"><a id="coders"></a>Custom Image Coders</h2>
    763 
    764 <p>An image coder (i.e. encoder / decoder) is responsible for registering, optionally classifying, optionally reading, optionally writing, and unregistering one image format (e.g.  PNG, GIF, JPEG, etc.).  Registering an image coder alerts ImageMagick a particular format is available to read or write.  While unregistering tells ImageMagick the format is no longer available.  The classifying method looks at the first few bytes of an image and determines if the image is in the expected format.  The reader sets the image size, colorspace, and other properties and loads the pixel cache with the pixels.  The reader returns a single image or an image sequence (if the format supports multiple images per file), or if an error occurs, an exception and a null image.  The writer does the reverse.  It takes the image properties and unloads the pixel cache and writes them as required by the image format.</p>
    765 
    766 <p>Here is a listing of a sample <a href="../source/mgk.c">custom coder</a>.  It reads and writes images in the MGK image format which is simply an ID followed by the image width and height followed by the RGB pixel values.</p>
    767 
    768 <pre class="pre-scrollable">/*
    769   Include declarations.
    770 */
    771 #include "magick/studio.h"
    772 #include "magick/blob.h"
    773 #include "magick/blob-private.h"
    774 #include "magick/colorspace.h"
    775 #include "magick/exception.h"
    776 #include "magick/exception-private.h"
    777 #include "magick/image.h"
    778 #include "magick/image-private.h"
    779 #include "magick/list.h"
    780 #include "magick/magick.h"
    781 #include "magick/memory_.h"
    782 #include "magick/monitor.h"
    783 #include "magick/monitor-private.h"
    784 #include "magick/quantum-private.h"
    785 #include "magick/static.h"
    786 #include "magick/string_.h"
    787 #include "magick/module.h"
    788 
    789 /*
    790   Forward declarations.
    791 */
    792 static MagickBooleanType
    793   WriteMGKImage(const ImageInfo *,Image *);
    794 
    795 /*
    796 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    797 %                                                                             %
    798 %                                                                             %
    799 %                                                                             %
    800 %   I s M G K                                                                 %
    801 %                                                                             %
    802 %                                                                             %
    803 %                                                                             %
    804 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    805 %
    806 %  IsMGK() returns MagickTrue if the image format type, identified by the
    807 %  magick string, is MGK.
    808 %
    809 %  The format of the IsMGK method is:
    810 %
    811 %      MagickBooleanType IsMGK(const unsigned char *magick,const size_t length)
    812 %
    813 %  A description of each parameter follows:
    814 %
    815 %    o magick: This string is generally the first few bytes of an image file
    816 %      or blob.
    817 %
    818 %    o length: Specifies the length of the magick string.
    819 %
    820 */
    821 static MagickBooleanType IsMGK(const unsigned char *magick,const size_t length)
    822 {
    823   if (length &lt; 7)
    824     return(MagickFalse);
    825   if (LocaleNCompare((char *) magick,"id=mgk",7) == 0)
    826     return(MagickTrue);
    827   return(MagickFalse);
    828 }
    829 
    830 /*
    831 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    832 %                                                                             %
    833 %                                                                             %
    834 %                                                                             %
    835 %   R e a d M G K I m a g e                                                   %
    836 %                                                                             %
    837 %                                                                             %
    838 %                                                                             %
    839 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    840 %
    841 %  ReadMGKImage() reads a MGK image file and returns it.  It allocates
    842 %  the memory necessary for the new Image structure and returns a pointer to
    843 %  the new image.
    844 %
    845 %  The format of the ReadMGKImage method is:
    846 %
    847 %      Image *ReadMGKImage(const ImageInfo *image_info,ExceptionInfo *exception)
    848 %
    849 %  A description of each parameter follows:
    850 %
    851 %    o image_info: the image info.
    852 %
    853 %    o exception: return any errors or warnings in this structure.
    854 %
    855 */
    856 static Image *ReadMGKImage(const ImageInfo *image_info,
    857   ExceptionInfo *exception)
    858 {
    859   char
    860     buffer[MaxTextExtent];
    861 
    862   Image
    863     *image;
    864 
    865   MagickBooleanType
    866     status;
    867 
    868   register Quantum
    869     *q;
    870 
    871   register size_t
    872     x;
    873 
    874   register unsigned char
    875     *p;
    876 
    877   ssize_t
    878     count,
    879     y;
    880 
    881   unsigned char
    882     *pixels;
    883 
    884   unsigned long
    885     columns,
    886     rows;
    887 
    888   /*
    889     Open image file.
    890   */
    891   assert(image_info != (const ImageInfo *) NULL);
    892   assert(image_info-&gt;signature == MagickSignature);
    893   if (image_info-&gt;debug != MagickFalse)
    894     (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image_info-&gt;filename);
    895   assert(exception != (ExceptionInfo *) NULL);
    896   assert(exception-&gt;signature == MagickSignature);
    897   image=AcquireImage(image_info);
    898   status=OpenBlob(image_info,image,ReadBinaryBlobMode,exception);
    899   if (status == MagickFalse)
    900     {
    901       image=DestroyImageList(image);
    902       return((Image *) NULL);
    903     }
    904   /*
    905     Read MGK image.
    906   */
    907   (void) ReadBlobString(image,buffer);  /* read magic number */
    908   if (IsMGK(buffer,7) == MagickFalse)
    909     ThrowReaderException(CorruptImageError,"ImproperImageHeader");
    910   (void) ReadBlobString(image,buffer);
    911   count=(ssize_t) sscanf(buffer,"%lu %lu\n",&amp;columns,&amp;rows);
    912   if (count &lt;= 0)
    913     ThrowReaderException(CorruptImageError,"ImproperImageHeader");
    914   do
    915   {
    916     /*
    917       Initialize image structure.
    918     */
    919     image-&gt;columns=columns;
    920     image-&gt;rows=rows;
    921     image-&gt;depth=8;
    922     if ((image_info-&gt;ping != MagickFalse) &amp;&amp; (image_info-&gt;number_scenes != 0))
    923       if (image-&gt;scene >= (image_info-&gt;scene+image_info-&gt;number_scenes-1))
    924         break;
    925     /*
    926       Convert MGK raster image to pixel packets.
    927     */
    928     if (SetImageExtent(image,0,0) == MagickFalse)
    929       {
    930         InheritException(exception,&amp;image-&gt;exception);
    931         return(DestroyImageList(image));
    932       }
    933     pixels=(unsigned char *) AcquireQuantumMemory((size_t) image-&gt;columns,3UL*sizeof(*pixels));
    934     if (pixels == (unsigned char *) NULL)
    935       ThrowReaderException(ResourceLimitError,"MemoryAllocationFailed");
    936     for (y=0; y &lt; (ssize_t) image-&gt;rows; y++)
    937     {
    938       count=(ssize_t) ReadBlob(image,(size_t) (3*image-&gt;columns),pixels);
    939       if (count != (ssize_t) (3*image-&gt;columns))
    940         ThrowReaderException(CorruptImageError,"UnableToReadImageData");
    941       p=pixels;
    942       q=QueueAuthenticPixels(image,0,y,image-&gt;columns,1,exception);
    943       if (q == (Quantum *) NULL)
    944         break;
    945       for (x=0; x &lt; (ssize_t) image-&gt;columns; x++)
    946       {
    947         SetPixelRed(image,ScaleCharToQuantum(*p++),q);
    948         SetPixelGreen(image,ScaleCharToQuantum(*p++),q);
    949         SetPixelBlue(image,ScaleCharToQuantum(*p++),q);
    950         q+=GetPixelChannels(image);
    951       }
    952       if (SyncAuthenticPixels(image,exception) == MagickFalse)
    953         break;
    954       if ((image-&gt;previous == (Image *) NULL) &amp;&amp;
    955           (SetImageProgress(image,LoadImageTag,y,image&gt;>rows) == MagickFalse))
    956         break;
    957     }
    958     pixels=(unsigned char *) RelinquishMagickMemory(pixels);
    959     if (EOFBlob(image) != MagickFalse)
    960       {
    961         ThrowFileException(exception,CorruptImageError,"UnexpectedEndOfFile",image-&gt;filename);
    962         break;
    963       }
    964     /*
    965       Proceed to next image.
    966     */
    967     if (image_info-&gt;number_scenes != 0)
    968       if (image-&gt;scene >= (image_info-&gt;scene+image_info-&gt;number_scenes-1))
    969         break;
    970     *buffer='\0';
    971     (void) ReadBlobString(image,buffer);
    972     count=(ssize_t) sscanf(buffer,"%lu %lu\n",&amp;columns,&amp;rows);
    973     if (count != 0)
    974       {
    975         /*
    976           Allocate next image structure.
    977         */
    978         AcquireNextImage(image_info,image);
    979         if (GetNextImageInList(image) == (Image *) NULL)
    980           {
    981             image=DestroyImageList(image);
    982             return((Image *) NULL);
    983           }
    984         image=SyncNextImageInList(image);
    985         status=SetImageProgress(image,LoadImageTag,TellBlob(image),GetBlobSize(image));
    986         if (status == MagickFalse)
    987           break;
    988       }
    989   } while (count != 0);
    990   (void) CloseBlob(image);
    991   return(GetFirstImageInList(image));
    992 }
    993 
    994 /*
    995 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    996 %                                                                             %
    997 %                                                                             %
    998 %                                                                             %
    999 %   R e g i s t e r M G K I m a g e                                           %
   1000 %                                                                             %
   1001 %                                                                             %
   1002 %                                                                             %
   1003 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
   1004 %
   1005 %  RegisterMGKImage() adds attributes for the MGK image format to
   1006 %  the list of supported formats.  The attributes include the image format
   1007 %  tag, a method to read and/or write the format, whether the format
   1008 %  supports the saving of more than one frame to the same file or blob,
   1009 %  whether the format supports native in-memory I/O, and a brief
   1010 %  description of the format.
   1011 %
   1012 %  The format of the RegisterMGKImage method is:
   1013 %
   1014 %      unsigned long RegisterMGKImage(void)
   1015 %
   1016 */
   1017 ModuleExport unsigned long RegisterMGKImage(void)
   1018 {
   1019   MagickInfo
   1020     *entry;
   1021 
   1022   entry=SetMagickInfo("MGK");
   1023   entry-&gt;decoder=(DecodeImageHandler *) ReadMGKImage;
   1024   entry-&gt;encoder=(EncodeImageHandler *) WriteMGKImage;
   1025   entry-&gt;magick=(IsImageFormatHandler *) IsMGK;
   1026   entry-&gt;description=ConstantString("MGK");
   1027   entry-&gt;module=ConstantString("MGK");
   1028   (void) RegisterMagickInfo(entry);
   1029   return(MagickImageCoderSignature);
   1030 }
   1031 
   1032 /*
   1033 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
   1034 %                                                                             %
   1035 %                                                                             %
   1036 %                                                                             %
   1037 %   U n r e g i s t e r M G K I m a g e                                       %
   1038 %                                                                             %
   1039 %                                                                             %
   1040 %                                                                             %
   1041 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
   1042 %
   1043 %  UnregisterMGKImage() removes format registrations made by the
   1044 %  MGK module from the list of supported formats.
   1045 %
   1046 %  The format of the UnregisterMGKImage method is:
   1047 %
   1048 %      UnregisterMGKImage(void)
   1049 %
   1050 */
   1051 ModuleExport void UnregisterMGKImage(void)
   1052 {
   1053   (void) UnregisterMagickInfo("MGK");
   1054 }
   1055 
   1056 /*
   1057 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
   1058 %                                                                             %
   1059 %                                                                             %
   1060 %                                                                             %
   1061 %   W r i t e M G K I m a g e                                                 %
   1062 %                                                                             %
   1063 %                                                                             %
   1064 %                                                                             %
   1065 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
   1066 %
   1067 %  WriteMGKImage() writes an image to a file in red, green, and blue
   1068 %  MGK rasterfile format.
   1069 %
   1070 %  The format of the WriteMGKImage method is:
   1071 %
   1072 %      MagickBooleanType WriteMGKImage(const ImageInfo *image_info,Image *image)
   1073 %
   1074 %  A description of each parameter follows.
   1075 %
   1076 %    o image_info: the image info.
   1077 %
   1078 %    o image:  The image.
   1079 %
   1080 */
   1081 static MagickBooleanType WriteMGKImage(const ImageInfo *image_info,Image *image)
   1082 {
   1083   char
   1084     buffer[MaxTextExtent];
   1085 
   1086   MagickBooleanType
   1087     status;
   1088 
   1089   MagickOffsetType
   1090     scene;
   1091 
   1092   register const Quantum
   1093     *p;
   1094 
   1095   register ssize_t
   1096     x;
   1097 
   1098   register unsigned char
   1099     *q;
   1100 
   1101   ssize_t
   1102     y;
   1103 
   1104   unsigned char
   1105     *pixels;
   1106 
   1107   /*
   1108     Open output image file.
   1109   */
   1110   assert(image_info != (const ImageInfo *) NULL);
   1111   assert(image_info-&gt;signature == MagickSignature);
   1112   assert(image != (Image *) NULL);
   1113   assert(image-&gt;signature == MagickSignature);
   1114   if (image-&gt;debug != MagickFalse)
   1115     (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image-&gt;filename);
   1116   status=OpenBlob(image_info,image,WriteBinaryBlobMode,&amp;image-&gt;exception);
   1117   if (status == MagickFalse)
   1118     return(status);
   1119   scene=0;
   1120   do
   1121   {
   1122     /*
   1123       Allocate memory for pixels.
   1124     */
   1125     if (image-&gt;colorspace != RGBColorspace)
   1126       (void) SetImageColorspace(image,RGBColorspace);
   1127     pixels=(unsigned char *) AcquireQuantumMemory((size_t) image-&gt;columns,
   1128       3UL*sizeof(*pixels));
   1129     if (pixels == (unsigned char *) NULL)
   1130       ThrowWriterException(ResourceLimitError,"MemoryAllocationFailed");
   1131     /*
   1132       Initialize raster file header.
   1133     */
   1134     (void) WriteBlobString(image,"id=mgk\n");
   1135     (void) FormatLocaleString(buffer,MaxTextExtent,"%lu %lu\n",
   1136       image-&gt;columns,image-&gt;rows);
   1137     (void) WriteBlobString(image,buffer);
   1138     for (y=0; y &lt; (ssize_t) image-&gt;rows; y++)
   1139     {
   1140       p=GetVirtualPixels(image,0,y,image-&gt;columns,1,&amp;image-&gt;exception);
   1141       if (p == (const Quantum *) NULL)
   1142         break;
   1143       q=pixels;
   1144       for (x=0; x &lt; (ssize_t) image-&gt;columns; x++)
   1145       {
   1146         *q++=ScaleQuantumToChar(GetPixelRed(p));
   1147         *q++=ScaleQuantumToChar(GetPixelGreen(p));
   1148         *q++=ScaleQuantumToChar(GetPixelBlue(p));
   1149         p+=GetPixelChannels(image);
   1150       }
   1151       (void) WriteBlob(image,(size_t) (q-pixels),pixels);
   1152       if ((image-&gt;previous == (Image *) NULL) &amp;&amp;
   1153           (SetImageProgress(image,SaveImageTag,y,image-&gt;rows) == MagickFalse))
   1154         break;
   1155     }
   1156     pixels=(unsigned char *) RelinquishMagickMemory(pixels);
   1157     if (GetNextImageInList(image) == (Image *) NULL)
   1158       break;
   1159     image=SyncNextImageInList(image);
   1160     status=SetImageProgress(image,SaveImagesTag,scene,
   1161       GetImageListLength(image));
   1162     if (status == MagickFalse)
   1163       break;
   1164     scene++;
   1165   } while (image_info-&gt;adjoin != MagickFalse);
   1166   (void) CloseBlob(image);
   1167   return(MagickTrue);
   1168 }</pre>
   1169 
   1170 <p>To invoke the custom coder from the command line, use these commands:</p>
   1171 
   1172 <pre>convert logo: logo.mgk
   1173 display logo.mgk
   1174 </pre>
   1175 
   1176 <p>We provide the <a href="http://www.imagemagick.org/download/kits/">Magick Coder Kit</a> to help you get started writing your own custom coder.</p>
   1177 
   1178 <h2 class="magick-header"><a id="filters"></a>Custom Image Filters</h2>
   1179 
   1180 <p>ImageMagick provides a convenient mechanism for adding your own custom image processing algorithms.  We call these image filters and they are invoked from the command line with the <a href="command-line-options.html#process">-process</a> option or from the MagickCore API method <a href="api/module.html#ExecuteModuleProcess">ExecuteModuleProcess()</a>.</p>
   1181 
   1182 <p>Here is a listing of a sample <a href="../source/analyze.c">custom image filter</a>.  It computes a few statistics such as the pixel brightness and saturation mean and standard-deviation.</p>
   1183 
   1184 <pre class="pre-scrollable">#include &lt;stdio.h&gt;
   1185 #include &lt;stdlib.h&gt;
   1186 #include &lt;string.h&gt;
   1187 #include &lt;time.h&gt;
   1188 #include &lt;assert.h&gt;
   1189 #include &lt;math.h&gt;
   1190 #include "magick/MagickCore.h"
   1191 
   1192 /*
   1193 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
   1194 %                                                                             %
   1195 %                                                                             %
   1196 %                                                                             %
   1197 %   a n a l y z e I m a g e                                                   %
   1198 %                                                                             %
   1199 %                                                                             %
   1200 %                                                                             %
   1201 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
   1202 %
   1203 %  analyzeImage() computes the brightness and saturation mean,  standard
   1204 %  deviation, kurtosis and skewness and stores these values as attributes
   1205 %  of the image.
   1206 %
   1207 %  The format of the analyzeImage method is:
   1208 %
   1209 %      size_t analyzeImage(Image *images,const int argc,char **argv,
   1210 %        ExceptionInfo *exception)
   1211 %
   1212 %  A description of each parameter follows:
   1213 %
   1214 %    o image: the address of a structure of type Image.
   1215 %
   1216 %    o argc: Specifies a pointer to an integer describing the number of
   1217 %      elements in the argument vector.
   1218 %
   1219 %    o argv: Specifies a pointer to a text array containing the command line
   1220 %      arguments.
   1221 %
   1222 %    o exception: return any errors or warnings in this structure.
   1223 %
   1224 */
   1225 ModuleExport size_t analyzeImage(Image **images,const int argc,const char **argv,
   1226   ExceptionInfo *exception)
   1227 {
   1228   char
   1229     text[MaxTextExtent];
   1230 
   1231   double
   1232     area,
   1233     brightness,
   1234     brightness_mean,
   1235     brightness_standard_deviation,
   1236     brightness_kurtosis,
   1237     brightness_skewness,
   1238     brightness_sum_x,
   1239     brightness_sum_x2,
   1240     brightness_sum_x3,
   1241     brightness_sum_x4,
   1242     hue,
   1243     saturation,
   1244     saturation_mean,
   1245     saturation_standard_deviation,
   1246     saturation_kurtosis,
   1247     saturation_skewness,
   1248     saturation_sum_x,
   1249     saturation_sum_x2,
   1250     saturation_sum_x3,
   1251     saturation_sum_x4;
   1252 
   1253   Image
   1254     *image;
   1255 
   1256   assert(images != (Image **) NULL);
   1257   assert(*images != (Image *) NULL);
   1258   assert((*images)-&gt;signature == MagickSignature);
   1259   (void) argc;
   1260   (void) argv;
   1261   image=(*images);
   1262   for ( ; image != (Image *) NULL; image=GetNextImageInList(image))
   1263   {
   1264     CacheView
   1265       *image_view;
   1266 
   1267     MagickBooleanType
   1268       status;
   1269 
   1270     ssize_t
   1271       y;
   1272 
   1273     brightness_sum_x=0.0;
   1274     brightness_sum_x2=0.0;
   1275     brightness_sum_x3=0.0;
   1276     brightness_sum_x4=0.0;
   1277     brightness_mean=0.0;
   1278     brightness_standard_deviation=0.0;
   1279     brightness_kurtosis=0.0;
   1280     brightness_skewness=0.0;
   1281     saturation_sum_x=0.0;
   1282     saturation_sum_x2=0.0;
   1283     saturation_sum_x3=0.0;
   1284     saturation_sum_x4=0.0;
   1285     saturation_mean=0.0;
   1286     saturation_standard_deviation=0.0;
   1287     saturation_kurtosis=0.0;
   1288     saturation_skewness=0.0;
   1289     area=0.0;
   1290     status=MagickTrue;
   1291     image_view=AcquireVirtualCacheView(image,exception);
   1292 #if defined(MAGICKCORE_OPENMP_SUPPORT)
   1293     #pragma omp parallel for schedule(dynamic,4) shared(status)
   1294 #endif
   1295     for (y=0; y &lt; (ssize_t) image-&gt;rows; y++)
   1296     {
   1297       register const Quantum
   1298         *p;
   1299 
   1300       register ssize_t
   1301         x;
   1302 
   1303       if (status == MagickFalse)
   1304         continue;
   1305       p=GetCacheViewVirtualPixels(image_view,0,y,image-&gt;columns,1,exception);
   1306       if (p == (const Quantum *) NULL)
   1307         {
   1308           status=MagickFalse;
   1309           continue;
   1310         }
   1311       for (x=0; x &lt; (ssize_t) image-&gt;columns; x++)
   1312       {
   1313         ConvertRGBToHSB(GetPixelRed(p),GetPixelGreen(p),GetPixelBue(p),&amp;hue,&amp;saturation,&amp;brightness);
   1314         brightness*=QuantumRange;
   1315         brightness_sum_x+=brightness;
   1316         brightness_sum_x2+=brightness*brightness;
   1317         brightness_sum_x3+=brightness*brightness*brightness;
   1318         brightness_sum_x4+=brightness*brightness*brightness*brightness;
   1319         saturation*=QuantumRange;
   1320         saturation_sum_x+=saturation;
   1321         saturation_sum_x2+=saturation*saturation;
   1322         saturation_sum_x3+=saturation*saturation*saturation;
   1323         saturation_sum_x4+=saturation*saturation*saturation*saturation;
   1324         area++;
   1325         p+=GetPixelChannels(image);
   1326       }
   1327     }
   1328     image_view=DestroyCacheView(image_view);
   1329     if (area &lt;= 0.0)
   1330       break;
   1331     brightness_mean=brightness_sum_x/area;
   1332     (void) FormatLocaleString(text,MaxTextExtent,"%g",brightness_mean);
   1333     (void) SetImageProperty(image,"filter:brightness:mean",text);
   1334     brightness_standard_deviation=sqrt(brightness_sum_x2/area-(brightness_sum_x/
   1335       area*brightness_sum_x/area));
   1336     (void) FormatLocaleString(text,MaxTextExtent,"%g",
   1337       brightness_standard_deviation);
   1338     (void) SetImageProperty(image,"filter:brightness:standard-deviation",text);
   1339     if (brightness_standard_deviation != 0)
   1340       brightness_kurtosis=(brightness_sum_x4/area-4.0*brightness_mean*
   1341         brightness_sum_x3/area+6.0*brightness_mean*brightness_mean*
   1342         brightness_sum_x2/area-3.0*brightness_mean*brightness_mean*
   1343         brightness_mean*brightness_mean)/(brightness_standard_deviation*
   1344         brightness_standard_deviation*brightness_standard_deviation*
   1345         brightness_standard_deviation)-3.0;
   1346     (void) FormatLocaleString(text,MaxTextExtent,"%g",brightness_kurtosis);
   1347     (void) SetImageProperty(image,"filter:brightness:kurtosis",text);
   1348     if (brightness_standard_deviation != 0)
   1349       brightness_skewness=(brightness_sum_x3/area-3.0*brightness_mean*
   1350         brightness_sum_x2/area+2.0*brightness_mean*brightness_mean*
   1351         brightness_mean)/(brightness_standard_deviation*
   1352         brightness_standard_deviation*brightness_standard_deviation);
   1353     (void) FormatLocaleString(text,MaxTextExtent,"%g",brightness_skewness);
   1354     (void) SetImageProperty(image,"filter:brightness:skewness",text);
   1355     saturation_mean=saturation_sum_x/area;
   1356     (void) FormatLocaleString(text,MaxTextExtent,"%g",saturation_mean);
   1357     (void) SetImageProperty(image,"filter:saturation:mean",text);
   1358     saturation_standard_deviation=sqrt(saturation_sum_x2/area-(saturation_sum_x/
   1359       area*saturation_sum_x/area));
   1360     (void) FormatLocaleString(text,MaxTextExtent,"%g",
   1361       saturation_standard_deviation);
   1362     (void) SetImageProperty(image,"filter:saturation:standard-deviation",text);
   1363     if (saturation_standard_deviation != 0)
   1364       saturation_kurtosis=(saturation_sum_x4/area-4.0*saturation_mean*
   1365         saturation_sum_x3/area+6.0*saturation_mean*saturation_mean*
   1366         saturation_sum_x2/area-3.0*saturation_mean*saturation_mean*
   1367         saturation_mean*saturation_mean)/(saturation_standard_deviation*
   1368         saturation_standard_deviation*saturation_standard_deviation*
   1369         saturation_standard_deviation)-3.0;
   1370     (void) FormatLocaleString(text,MaxTextExtent,"%g",saturation_kurtosis);
   1371     (void) SetImageProperty(image,"filter:saturation:kurtosis",text);
   1372     if (saturation_standard_deviation != 0)
   1373       saturation_skewness=(saturation_sum_x3/area-3.0*saturation_mean*
   1374         saturation_sum_x2/area+2.0*saturation_mean*saturation_mean*
   1375         saturation_mean)/(saturation_standard_deviation*
   1376         saturation_standard_deviation*saturation_standard_deviation);
   1377     (void) FormatLocaleString(text,MaxTextExtent,"%g",saturation_skewness);
   1378     (void) SetImageProperty(image,"filter:saturation:skewness",text);
   1379   }
   1380   return(MagickImageFilterSignature);
   1381 }</pre>
   1382 
   1383 <p>To invoke the custom filter from the command line, use this command:</p>
   1384 
   1385 <pre>convert logo: -process \"analyze\" -verbose info:
   1386   Image: logo:
   1387     Format: LOGO (ImageMagick Logo)
   1388     Class: PseudoClass
   1389     Geometry: 640x480
   1390     ...
   1391     filter:brightness:kurtosis: 8.17947
   1392     filter:brightness:mean: 60632.1
   1393     filter:brightness:skewness: -2.97118
   1394     filter:brightness:standard-deviation: 13742.1
   1395     filter:saturation:kurtosis: 4.33554
   1396     filter:saturation:mean: 5951.55
   1397     filter:saturation:skewness: 2.42848
   1398     filter:saturation:standard-deviation: 15575.9
   1399 </pre>
   1400 
   1401 
   1402 <p>We provide the <a href="http://www.imagemagick.org/download/kits/">Magick Filter Kit</a> to help you get started writing your own custom image filter.</p>
   1403 
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