Merge pull request #13152 from ssnover95:docfix/fourier-transform-py-tutorial
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@ -79,11 +79,11 @@ using **np.ifft2()** function. The result, again, will be a complex number. You
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absolute value.
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@code{.py}
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rows, cols = img.shape
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crow,ccol = rows/2 , cols/2
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fshift[crow-30:crow+30, ccol-30:ccol+30] = 0
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crow,ccol = rows//2 , cols//2
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fshift[crow-30:crow+31, ccol-30:ccol+31] = 0
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f_ishift = np.fft.ifftshift(fshift)
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img_back = np.fft.ifft2(f_ishift)
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img_back = np.abs(img_back)
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img_back = np.real(img_back)
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plt.subplot(131),plt.imshow(img, cmap = 'gray')
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plt.title('Input Image'), plt.xticks([]), plt.yticks([])
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