public void Lenna_is_perfectly_reconstructed_after_5_steps()
{
Laplacian2D <YuvD> transform = new Laplacian2D <YuvD>(new DigitalFilter(new Dirichlet(3), 2), new DigitalFilter(new Dirichlet(2), 2));
Image <YuvD> lenna = Image <YuvD> .Load("Lenna.png");
ImageTest.AssertEquals(transform.Inverse(transform.Forward(lenna, 5)), lenna);
}
public static void Main()
{
Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture;
Image <YuvD> lenna = Image <YuvD> .Load("Resources\\Lenna.png");
Sampler2D <YuvD> analysis = new SeparableSampler <YuvD>(new Dirichlet3SamplerYuvD());
Sampler2D <YuvD> synthesis = new SeparableSampler <YuvD>(new Dirichlet2SamplerYuvD());
Laplacian2D <YuvD> transform = new Laplacian2D <YuvD>(analysis, synthesis);
Image <YuvD>[] transformed = transform.Forward(lenna, 5);
transformed[0].Save("c:\\temp\\lenna-0.png");
for (int i = 1; i < transformed.Length; i++)
{
transformed[i].Normalize();
transformed[i].Save($"c:\\temp\\lenna-{i}.png");
transformed[i].Clear();
}
Image <YuvD> reconstructed = transform.Inverse(transformed);
reconstructed.Save("c:\\temp\\lenna-r.png");
}
public void SetUp()
{
Directory.SetCurrentDirectory(TestContext.CurrentContext.TestDirectory + "\\Resources\\ImageTest");
laplacian = new Laplacian2D <double>(analysis, synthesis);
}
