1 files changed, 79 insertions, 0 deletions
diff --git a/src/boost/libs/gil/test/extension/numeric/convolve.cpp b/src/boost/libs/gil/test/extension/numeric/convolve.cpp
new file mode 100644
index 00000000..d12fc9ac
--- /dev/null
+++ b/src/boost/libs/gil/test/extension/numeric/convolve.cpp
@@ -0,0 +1,79 @@
+//
+// Copyright 2019 Mateusz Loskot <mateusz at loskot dot net>
+//
+// 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/numeric/convolve.hpp>
+
+#include <tuple>
+#include <type_traits>
+
+#define BOOST_TEST_MODULE test_ext_numeric_colvolve_2d
+#include "unit_test.hpp"
+#include "unit_test_utility.hpp"
+#include "test_fixture.hpp"
+#include "core/image/test_fixture.hpp"
+
+namespace gil = boost::gil;
+namespace fixture = boost::gil::test::fixture;
+
+BOOST_AUTO_TEST_SUITE(convolve_1d)
+
+BOOST_AUTO_TEST_CASE_TEMPLATE(image_1x1_kernel_1x1_identity, Image, fixture::image_types)
+{
+    auto const img = fixture::create_image<Image>(1, 1, 7);
+    Image img_out(img);
+
+    using pixel_t = typename Image::value_type;
+    using channel_t = typename gil::channel_type<pixel_t>::type;
+    auto const kernel = fixture::create_kernel<channel_t>({1});
+    gil::detail::convolve_1d<pixel_t>(const_view(img_out), kernel, view(img_out));
+
+    // 1x1 kernel reduces convolution to multiplication
+    BOOST_TEST(gil::const_view(img).front() == gil::const_view(img_out).front());
+}
+
+BOOST_AUTO_TEST_CASE_TEMPLATE(image_1x1_kernel_3x3_identity, Image, fixture::image_types)
+{
+    auto const img = fixture::create_image<Image>(1, 1, 7);
+    Image img_out(img);
+
+    using pixel_t = typename Image::value_type;
+    using channel_t = typename gil::channel_type<pixel_t>::type;
+    auto const kernel = fixture::create_kernel<channel_t>({0, 0, 0, 0, 1, 0, 0, 0, 0});
+    gil::detail::convolve_1d<pixel_t>(const_view(img_out), kernel, view(img_out));
+
+    BOOST_TEST(gil::const_view(img).front() == gil::const_view(img_out).front());
+}
+
+BOOST_AUTO_TEST_CASE_TEMPLATE(image_3x3_kernel_3x3_identity, Image, fixture::image_types)
+{
+    using pixel_t = typename Image::value_type;
+    using channel_t = typename gil::channel_type<pixel_t>::type;
+    auto const img = fixture::generate_image<Image>(3, 3, fixture::random_value<channel_t>{});
+    Image img_out(img);
+
+    auto const kernel = fixture::create_kernel<channel_t>({0, 0, 0, 0, 1, 0, 0, 0, 0});
+    gil::detail::convolve_1d<pixel_t>(const_view(img_out), kernel, view(img_out));
+
+    BOOST_TEST(gil::equal_pixels(gil::const_view(img), gil::const_view(img_out)));
+}
+
+BOOST_AUTO_TEST_CASE_TEMPLATE(image_5x5_kernel_3x3_identity, Image, fixture::image_types)
+{
+    using pixel_t = typename Image::value_type;
+    using channel_t = typename gil::channel_type<pixel_t>::type;
+    auto const img = fixture::generate_image<Image>(5, 5, fixture::random_value<channel_t>{});
+    Image img_out(img);
+
+    auto const kernel = fixture::create_kernel<channel_t>({0, 0, 0, 0, 1, 0, 0, 0, 0});
+    gil::detail::convolve_1d<pixel_t>(const_view(img_out), kernel, view(img_out));
+    // TODO: Test different boundary options
+
+    BOOST_TEST(gil::equal_pixels(gil::const_view(img), gil::const_view(img_out)));
+}
+
+BOOST_AUTO_TEST_SUITE_END()