MFM
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How to save the frequency domain image after FFT operation?
` # 2D FFT x_freq = torch.fft.fft2(image) # shift low frequency to the center x_freq = torch.fft.fftshift(x_freq, dim=(-2, -1)) # mask a portion of frequencies x_freq_masked = x_freq # restore the original frequency order x_freq_masked = torch.fft.ifftshift(x_freq_masked, dim=(-2, -1)) # 2D iFFT (only keep the real part) x_corrupted = torch.fft.ifft2(x_freq_masked).real x_corrupted = torch.clamp(x_corrupted, min=0., max=1.) x_np = x_corrupted.numpy()
im = Image.fromarray((x_np * 255).astype(np.uint8))
im.save(os.path.join(output_folder, filename))`
The image I save with the above code is far from the image of the cat example, can you provide a demo of this please?