Sorry, i should have looked at your image. A few test you can do is 1) does ifft2 give you back the original image? (allclose returned True for a little test I did here) 2) does scipy.fftpack.fft2 yield the same result?
//Torgil On Thu, Dec 29, 2011 at 6:32 PM, Burlen Loring <burlen.lor...@gmail.com> wrote: > hmmph, I used both fftn and fft2, they both produce the same result. Is > there a restriction on the dimension of the input? power of 2 or some such? > > On 12/29/2011 07:21 AM, Torgil Svensson wrote: >> This is because fft computes one-dimensional transforms (on each row). >> Try fft2 instead. >> >> //Torgil >> >> >> fft(a, n=None, axis=-1) >> Compute the one-dimensional discrete Fourier Transform. >> >> fft2(a, s=None, axes=(-2, -1)) >> Compute the 2-dimensional discrete Fourier Transform >> >> fftn(a, s=None, axes=None) >> Compute the N-dimensional discrete Fourier Transform. >> >> >> On Wed, Dec 28, 2011 at 10:05 PM, Burlen Loring<burlen.lor...@gmail.com> >> wrote: >>> Hi >>> >>> I have an image I need to do an fft on, I tried numpy.fft but results are >>> not what I expected, and differ from matlab. >>> >>> My input image is a weird size, 5118x1279, I think numpy fft is not liking >>> it. In >>> numpy the fft appears to be computed multiple times and tiled across the >>> output image. In other words the pattern I see in matlab fft is tiled >>> repeatedly over numpy fft output. Any idea on what I'm doing wrong? >>> >>> you can see repeated pattern in the top panel of this image which also has >>> the input in the bottom panel. >>> http://old.nabble.com/file/p33047057/fft_uex.png fft_uex.png >>> >>> tx >>> >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> NumPy-Discussion@scipy.org >>> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
