Image filtering with 2-D FFT

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Learn the basics of 2-D image filtering with the Fast Fourier Transform (FFT), the computationally-efficient version of the Discrete Fourier Transform (DFT).
  1. NTS
  2. FFT
  3. Fast Fourier Transform
  4. DFT
  5. Discrete Fourier Transform
  6. image spectrum
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Комментарии
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You are correct for the general case of a complex-valued input image. However, for a real-valued input image this extra computation is not needed, and here's why: Enabling the shift option at 4:06 applies a spatial shift to the frequency-domain input image (which means a phase shift in the spatial-domain input image), and because only the magnitude of the output image is retained (2:50) the phase shift in the filtered spatial image gets discarded anyways.

ntspress
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Great video! Can I ask which hardware and software did you use for this tutorial?

MenelaosKotsollaris
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Can you tell me what program you used to make the graphical images. Thanks David Lee

DavidLeeMenefee
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Don't you have to shift G(u, v) back after applying the filter and before inversely transforming?

JanM