以下代碼將彩色圖像轉換為灰度，然后計算其 FFT：    private void button1_Click(object sender, EventArgs e)    {        Bitmap source = pictureBox1.Image as Bitmap;        Bitmap gray = Grayscale.ToGrayscale(source);        Complex[,] cpxImage = ImageDataConverter.ToComplex(gray);        Complex[,] fftCpxImage = FourierTransform.ForwardFFT(cpxImage);        Complex[,] shiftedFftCpxImage = FourierShifter.ShiftFft(fftCpxImage);        Bitmap mag = FourierPlot.FftMagnitudePlot(shiftedFftCpxImage, PixelFormat.Format8bppIndexed);        Bitmap phase = FourierPlot.FftPhasePlot(shiftedFftCpxImage, PixelFormat.Format8bppIndexed);        pictureBox2.Image = gray;        pictureBox3.Image =  mag;        pictureBox4.Image = phase;    }以下代碼將彩色圖像分成三個通道，計算它們的 FFT 并將它們合并在一起以形成 FFT 的 RGB 圖像。    private void button2_Click(object sender, EventArgs e)    {        Bitmap source = pictureBox1.Image as Bitmap;        int [,,] array3d = ImageDataConverter.ToInteger3d(source);        int[,] red = ArrayTools<int>.Split(array3d, 0);        int[,] green = ArrayTools<int>.Split(array3d, 1);        int[,] blue = ArrayTools<int>.Split(array3d, 2);        Complex [,] cpxRed = ImageDataConverter.ToComplex(red);        Complex [,] cpxGreen = ImageDataConverter.ToComplex(green);        Complex [,] cpxBlue = ImageDataConverter.ToComplex(blue);        Complex[,] fftCpxRed = FourierTransform.ForwardFFT(cpxRed);        Complex[,] fftCpxGreen = FourierTransform.ForwardFFT(cpxGreen);        Complex[,] fftCpxBlue = FourierTransform.ForwardFFT(cpxBlue);        Complex[,] shiftedFftCpxRed = FourierShifter.ShiftFft(fftCpxRed);        Complex[,] shiftedFftCpxGreen = FourierShifter.ShiftFft(fftCpxGreen);        Complex[,] shiftedFftCpxBlue = FourierShifter.ShiftFft(fftCpxBlue);    }輸出在第一種情況下，結果非常好，正如預期的那樣。在第二種情況下，輸出是全黑的。