public Image <Rgb24> ReverseFourierTransform()
{
var signal = new Complex[Image.Width, Image.Height];
var normalImage = new double[Image.Width, Image.Height];
for (int i = 0; i < Image.Width; i++)
{
for (int j = 0; j < Image.Height; j++)
{
signal[i, j] = TransformedSignal[i, j];
}
}
FourierTransformation.FFT2(signal, FourierTransformation.Direction.Backward);
for (int i = 0; i < Image.Width; i++)
{
for (int j = 0; j < Image.Height; j++)
{
normalImage[i, j] = signal[i, j].Real;
}
}
return(CreateImage(normalImage));
}
public ImageProcessor GetFourierTransformedImages(double normalizationScale, double logoffset)
{
var realImage = new double[Image.Width, Image.Height];
var imaginaryImage = new double[Image.Width, Image.Height];
var signal = new Complex[Image.Width, Image.Height];
for (int i = 0; i < Image.Width; i++)
{
for (int j = 0; j < Image.Height; j++)
{
signal[i, j] = Image[i, j].R;
}
}
FourierTransformation.FFT2(signal, FourierTransformation.Direction.Forward);
var copy = new Complex[Image.Width, Image.Height];
ComplexToImages(copy, signal, realImage, imaginaryImage);
Normalize(realImage, normalizationScale, logoffset);
Normalize(imaginaryImage, normalizationScale, logoffset);
return(new ImageProcessor(CreateImage(realImage), CreateImage(imaginaryImage), copy));
}
