Showing posts with label FFT. Show all posts
Showing posts with label FFT. Show all posts

Thursday, July 21, 2022

Playing with Phase and Magnitude

 

In this series dedicated to the Fourier Transform, it is important to understand the role played by magnitude (or amplitude) and phase in an image...

Thursday, November 14, 2013

Fourier: Convolution and Deconvolution




Convolution is not an operation only specific of real space filters. You can use it in frequency space. Its counterpart - the deconvolution - is also very popular to enhance images.

Friday, November 8, 2013

Fourier Series: Several functions




Second post dedicated to the Fourier series [Link] with several examples of classical periodic functions.


Thursday, September 15, 2011

Fourier Series

Understanding the Fourier Transform is not trivial. Here is a simpler approach (only for periodic signals) from the same author termed the Fourier Series.
Joseph Fourier [Wikipedia] demonstrated that any periodic function could be decomposed in a series of sine and cosine functions.