A Fundamental course in digital image processing for senior-level and graduate-level students.
This lecture is about DFT, Discrete Fourier Transform
Outline:
- Definition of DFT
- Properties of DFT
- Linear Convolution vs. Circular Convolution
- Computing DFT for real images
- DFT in matrix form
- Plotting DFT
Objectives:
- Learn the DFT
- Be familiar with interpreting the DFT of an image
- Learn ways to compute DFT of an image
- Understand Circular Convolution
Affiliation:
OLIVES at the Georgia Institute of Technology.
[Group website]: https://ghassanalregib.info/
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