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Fourier Transforms

The Fourier transform produces another representation of a signal, specifically a representation as a weighted sum of complex exponentials. Because of Euler's formula:

where , we can say that the Fourier transform produces a representation of a (2D) signal as a weighted sum of sines and cosines. The defining formulas for the forward Fourier and the inverse Fourier transforms are as follows. Given an image a and its Fourier transform A, then the forward transform goes from the spatial domain (either continuous or discrete) to the frequency domain which is always continuous.

Forward -

The inverse Fourier transform goes from the frequency domain back to the spatial domain.

Inverse -

The Fourier transform is a unique and invertible operation so that:

The specific formulas for transforming back and forth between the spatial domain and the frequency domain are given below.

In 2D continuous space:

Forward -

Inverse -

In 2D discrete space:

Forward -

Inverse -

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