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

Matthew Cochran

Low-diameter Networks for Applications on High Performance Computing and Communication Networks

Liam Wood-Baker

Properties of Random Walks and their applications to Mathematical Physics

Joseph Kwong

SO(n)-invariant Einstein metrics

Saakshi Singh

Brauer Monoid Factorisations using Machine Learning Techniques