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

Emily Sykes

Is a Picture Worth a Thousand Words? String Diagrams in Quantum Game Theory

Michael Kaminski

Data Assimilation for Korteweg-De Vries Equations

Akito Koike

Slices in Schottky space

Geneva Birtles

Spatial Modelling of Lesion Development Informed by Multiple Sclerosis Patient MRIs