1 files changed, 69 insertions, 0 deletions
diff --git a/src/boost/libs/gil/example/convolution.cpp b/src/boost/libs/gil/example/convolution.cpp
new file mode 100644
index 000000000..4844f35aa
--- /dev/null
+++ b/src/boost/libs/gil/example/convolution.cpp
@@ -0,0 +1,69 @@
+//
+// Copyright 2005-2007 Adobe Systems Incorporated
+//
+// Distributed under the Boost Software License, Version 1.0
+// See accompanying file LICENSE_1_0.txt or copy at
+// http://www.boost.org/LICENSE_1_0.txt
+#include <boost/gil.hpp>
+#include <boost/gil/extension/io/jpeg.hpp>
+#include <boost/gil/extension/numeric/kernel.hpp>
+#include <boost/gil/extension/numeric/convolve.hpp>
+
+// Example for convolve_rows() and convolve_cols() in the numeric extension
+
+int main() {
+    using namespace boost::gil;
+
+    rgb8_image_t img;
+    read_image("test.jpg", img, jpeg_tag{});
+
+    // Convolve the rows and the columns of the image with a fixed kernel
+    rgb8_image_t convolved(img);
+
+    // radius-1 Gaussian kernel, size 9
+    float gaussian_1[]={0.00022923296f,0.0059770769f,0.060597949f,0.24173197f,0.38292751f,
+                        0.24173197f,0.060597949f,0.0059770769f,0.00022923296f};
+    /*
+    // radius-2 Gaussian kernel, size 15
+    float gaussian_2[]={
+        0.00048869418f,0.0024031631f,0.0092463447f,
+        0.027839607f,0.065602221f,0.12099898f,0.17469721f,
+        0.19744757f,
+        0.17469721f,0.12099898f,0.065602221f,0.027839607f,
+        0.0092463447f,0.0024031631f,0.00048869418f
+    };
+    //radius-3 Gaussian kernel, size 23
+    float gaussian_3[]={
+        0.00016944126f,0.00053842377f,0.0015324751f,0.0039068931f,
+        0.0089216027f,0.018248675f,0.033434924f,0.054872241f,
+        0.080666073f,0.10622258f,0.12529446f,
+        0.13238440f,
+        0.12529446f,0.10622258f,0.080666073f,
+        0.054872241f,0.033434924f,0.018248675f,0.0089216027f,
+        0.0039068931f,0.0015324751f,0.00053842377f,0.00016944126f
+    };
+    //radius-4 Gaussian kernel, size 29
+    float gaussian_4[]={
+        0.00022466264f,0.00052009715f,0.0011314391f,0.0023129794f,
+        0.0044433107f,0.0080211498f,0.013606987f,0.021691186f,
+        0.032493830f,0.045742013f,0.060509924f,0.075220309f,
+        0.087870099f,0.096459411f,0.099505201f,0.096459411f,0.087870099f,
+        0.075220309f,0.060509924f,0.045742013f,0.032493830f,
+        0.021691186f,0.013606987f,0.0080211498f,0.0044433107f,
+        0.0023129794f,0.0011314391f,0.00052009715f,0.00022466264f,
+    };
+    */
+
+    kernel_1d_fixed<float,9> kernel(gaussian_1,4);
+    convolve_rows_fixed<rgb32f_pixel_t>(const_view(convolved),kernel,view(convolved));
+    convolve_cols_fixed<rgb32f_pixel_t>(const_view(convolved),kernel,view(convolved));
+    write_view("out-convolution.jpg", view(convolved), jpeg_tag{});
+
+    // This is how to use a resizable kernel
+    kernel_1d<float> kernel2(gaussian_1,9,4);
+    convolve_rows<rgb32f_pixel_t>(const_view(img),kernel2,view(img));
+    convolve_cols<rgb32f_pixel_t>(const_view(img),kernel2,view(img));
+    write_view("out-convolution2.jpg", view(img), jpeg_tag{});
+
+    return 0;
+}