Used

Scaling of FFT2 magnitude in image-processing

Scaling of FFT2 magnitude in image-processing
  1. What is scaling in FFT?
  2. How is FFT used in image processing?
  3. What is the amplitude of FFT?

What is scaling in FFT?

The Fast Fourier Transform Product guide (PG109) explains that scaling is used to avoid bit growth in the output as a result of the arithmetic operations used to implement the FFT algorithm.

How is FFT used in image processing?

The Fast Fourier Transform (FFT) is commonly used to transform an image between the spatial and frequency domain. Unlike other domains such as Hough and Radon, the FFT method preserves all original data. Plus, FFT fully transforms images into the frequency domain, unlike time-frequency or wavelet transforms.

What is the amplitude of FFT?

The amplitude of the FFT is related to the number of points in the time-domain signal. Use the following equations to compute the amplitude and phase versus frequency from the FFT. where the arctangent function returns values of phase between -π and +π, a full range of 2π radians.

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