]> git.sesse.net Git - movit/blobdiff - deconvolution_sharpen_effect_test.cpp
Fix a small overallocation.
[movit] / deconvolution_sharpen_effect_test.cpp
index 6980b3d16b34bac262789ec2bf9632c690e9d3cb..8829b9da21de959685e7346cf7b4374a16b2e936 100644 (file)
@@ -1,5 +1,6 @@
 // Unit tests for DeconvolutionSharpenEffect.
 
+#include <GL/glew.h>
 #include <math.h>
 #include <stdlib.h>
 
@@ -9,6 +10,8 @@
 #include "image_format.h"
 #include "test_util.h"
 
+namespace movit {
+
 TEST(DeconvolutionSharpenEffectTest, IdentityTransformDoesNothing) {
        const int size = 4;
 
@@ -199,3 +202,37 @@ TEST(DeconvolutionSharpenEffectTest, NoiseAndCorrelationControlsReduceNoiseBoost
        // Check that we didn't boost total energy (which in this case means the noise) more than 10%.
        EXPECT_LT(sumsq_out, sumsq_in * 1.1f);
 }
+
+TEST(DeconvolutionSharpenEffectTest, CircularDeconvolutionKeepsAlpha) {
+       // Somewhat bigger, to make sure we are much bigger than the matrix size.
+       const int size = 32;
+
+       float data[size * size * 4];
+       float out_data[size * size];
+       float expected_alpha[size * size];
+
+       // Checkerbox pattern.
+       for (int y = 0; y < size; ++y) {
+               for (int x = 0; x < size; ++x) {
+                       int c = (y ^ x) & 1;
+                       data[(y * size + x) * 4 + 0] = c;
+                       data[(y * size + x) * 4 + 1] = c;
+                       data[(y * size + x) * 4 + 2] = c;
+                       data[(y * size + x) * 4 + 3] = 1.0;
+                       expected_alpha[y * size + x] = 1.0;
+               }
+       }
+
+       EffectChainTester tester(data, size, size, FORMAT_RGBA_POSTMULTIPLIED_ALPHA, COLORSPACE_sRGB, GAMMA_LINEAR);
+       Effect *deconvolution_effect = tester.get_chain()->add_effect(new DeconvolutionSharpenEffect());
+       ASSERT_TRUE(deconvolution_effect->set_int("matrix_size", 5));
+       ASSERT_TRUE(deconvolution_effect->set_float("circle_radius", 2.0f));
+       ASSERT_TRUE(deconvolution_effect->set_float("gaussian_radius", 0.0f));
+       ASSERT_TRUE(deconvolution_effect->set_float("correlation", 0.0001f));
+       ASSERT_TRUE(deconvolution_effect->set_float("noise", 0.0f));
+       tester.run(out_data, GL_ALPHA, COLORSPACE_sRGB, GAMMA_LINEAR);
+
+       expect_equal(expected_alpha, out_data, size, size);
+}
+
+}  // namespace movit