Currently I'm using PIL and NumPy. I have a colored png image and I want to:

  1. Read it in in grayscale
  2. Convert to NumPy array
  3. Perform a FFT on array
  4. Display the image

This is what I'm trying (in IPython w/ --pylab flag):

In [1]: import Image

In [2]: img = Image.open('ping.png').convert('LA')

In [3]: img_as_np = np.asarray(img)

In [4]: img_as_np
Out[4]: array(<Image.Image image mode=LA size=1000x1000 at 0x105802950>, dtype=object)

In [5]: img_fft = fft.fft2(img_as_np) // IndexError: index out of range for array
python image-processing numpy python-imaging-library fft
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