public void PreclisionTest1()
{
DateTime dt1 = DateTime.UtcNow;
double count = 0;
List <double> temp = new List <double>();
List <double> temp2 = new List <double>();
for (double i = -1; i < 1; i++)
{
for (int l = 1; l < 4; l++)
{
var for_test = TestImageGenerator.GetTestPair(1000, 2000, Math.PI / 2 * i, l);
for_test.Item1.CalculatePhaseImage();
DateTime dt2 = DateTime.UtcNow;
Unwrapping.Unwrap(for_test.Item1.Image);
//for_test.Item1.Unwrap();
double time = DateTime.UtcNow.Subtract(dt2).TotalSeconds;
temp.Add(time);
ImageSource.subtract_min(for_test.Item1.Image);
ImageSource.subtract_min(for_test.Item2);
double[,] difference = ImageSource.diff(for_test.Item1.Image, for_test.Item2);
var q = ImageSource.GetNoZero(difference, 2);
double res1 = ImageSource.std(for_test.Item1.Image, for_test.Item2);
Assert.IsTrue(res1 < Math.PI / 100);
count++;
}
}
double res2 = temp.Sum() / temp.Count();
double res = count / DateTime.UtcNow.Subtract(dt1).TotalSeconds;
}
public void FFT2_test1()
{
var tuple = TestImageGenerator.GetTestPair(1024, 1024, 4);
Complex[,] test_image = Complex.CreateComplexArray(tuple.Item1.images[0]);
FourierTransform.FFT2(test_image, FourierTransform.Direction.Forward);
Complex[,] reserv = (Complex[, ])test_image.Clone();
FourierTransform.FFT2(test_image, FourierTransform.Direction.Backward);
double[,] inverse_result = Complex.CreateDoubleArray(test_image);
double std = ImageSource.std(tuple.Item1.images[0], inverse_result);
Assert.IsTrue(std < ImageSource.mean(tuple.Item1.images[0]) / 1000);
}
public void FFT2_test2()
{
var tuple = TestImageGenerator.GetTestPair(1024, 2048, 4);
//DateTime dt1 = DateTime.UtcNow;
Complex[,] test_image = Complex.CreateComplexArray(tuple.Item1.images[0]);
DateTime dt1 = DateTime.UtcNow;
FourierTransform.FFT2(test_image, FourierTransform.Direction.Forward);
Complex[,] reserv = (Complex[, ])test_image.Clone();
FourierTransform.FFT2(test_image, FourierTransform.Direction.Backward);
double[,] inverse_result = Complex.CreateDoubleArray(test_image);
double resss = dt1.Subtract(DateTime.UtcNow).TotalSeconds;
double std = ImageSource.std(tuple.Item1.images[0], inverse_result);
Assert.IsTrue(std < ImageSource.mean(tuple.Item1.images[0]) / 1000);
}