Sami Salem
Applicability of Discrete Fourier Transforms in Denoising Images
The project aims to develop a suitably deep theoretical understanding of Fourier analysis to implement an effective algorithm, using a 2D discrete Fourier Transform, to denoise a noisy image.
Sami Salem
The University of Adelaide
Sami is an undergraduate student studying mathematics at the University of Adelaide. He is passionate about mathematical analysis, and hopes to apply it to research. In particular, he is interested in differential geometry.
You may be interested in
Thomas Hanyang Zheng
Hidden Markov Models for Analyzing Stress Levels in Working Dogs: A Comparative Study of Data Collection Devices and Frequencies
Billy Bourdaniotis
Implementing a numerical scheme for pricing of American options under model uncertainty
