X-Git-Url: https://git.sesse.net/?p=movit;a=blobdiff_plain;f=unsharp_mask_effect_test.cpp;fp=unsharp_mask_effect_test.cpp;h=a957ef13bc8bee962ba14abd32ae85e152120aa5;hp=0000000000000000000000000000000000000000;hb=b5ad8cf45cdf070361a7035a4ddbe2053e696795;hpb=abb7221a797bb5332f9ff9346396beb4c95dcc34 diff --git a/unsharp_mask_effect_test.cpp b/unsharp_mask_effect_test.cpp new file mode 100644 index 0000000..a957ef1 --- /dev/null +++ b/unsharp_mask_effect_test.cpp @@ -0,0 +1,71 @@ +// Unit tests for UnsharpMaskEffect. + +#include + +#include "test_util.h" +#include "gtest/gtest.h" +#include "unsharp_mask_effect.h" + +TEST(UnsharpMaskEffectTest, NoAmountDoesNothing) { + const int size = 4; + + float data[size * size] = { + 0.0, 1.0, 0.0, 1.0, + 0.0, 1.0, 1.0, 0.0, + 0.0, 0.5, 1.0, 0.5, + 0.0, 0.0, 0.0, 0.0, + }; + float out_data[size * size]; + + EffectChainTester tester(data, size, size, FORMAT_GRAYSCALE, COLORSPACE_sRGB, GAMMA_LINEAR); + Effect *unsharp_mask_effect = tester.get_chain()->add_effect(new UnsharpMaskEffect()); + ASSERT_TRUE(unsharp_mask_effect->set_float("radius", 2.0f)); + ASSERT_TRUE(unsharp_mask_effect->set_float("amount", 0.0f)); + tester.run(out_data, GL_RED, COLORSPACE_sRGB, GAMMA_LINEAR); + + expect_equal(data, out_data, size, size); +} + +TEST(UnsharpMaskEffectTest, UnblursGaussianBlur) { + const int size = 13; + const float sigma = 0.5f; + + float data[size * size], out_data[size * size]; + float expected_data[] = { // One single dot in the middle. + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, + }; + + // Create a Gaussian input. (Note that our blur is not Gaussian.) + for (int y = 0; y < size; ++y) { + for (int x = 0; x < size; ++x) { + float z = hypot(x - 6, y - 6); + data[y * size + x] = exp(-z*z / (2.0 * sigma * sigma)) / (2.0 * M_PI * sigma * sigma); + } + } + + EffectChainTester tester(data, size, size, FORMAT_GRAYSCALE, COLORSPACE_sRGB, GAMMA_LINEAR); + Effect *unsharp_mask_effect = tester.get_chain()->add_effect(new UnsharpMaskEffect()); + ASSERT_TRUE(unsharp_mask_effect->set_float("radius", sigma)); + tester.run(out_data, GL_RED, COLORSPACE_sRGB, GAMMA_LINEAR); + + // Check the center sample separately; it's bound to be the sample with the largest + // single error, and we know we can't get it perfect anyway. + int center = size / 2; + EXPECT_GT(out_data[center * size + center], 0.45f); + out_data[center * size + center] = 1.0f; + + // Add some leeway for the rest; unsharp masking is not expected to be extremely good. + expect_equal(expected_data, out_data, size, size, 0.1, 0.001); +}