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

Temana Short

Utilizing side information to improve peptide identification in MS/MS data

Thanh Dat Tran

Computational (Optimal) Transport for Domain Adaptation

Ben Cicchini

Investigating the Ecological Diversity-Stability Debate using Differential Equation Models and Statistical Sampling Techniques

Emma Naumann

A Mathematical Exploration of the Role of Feral Pigs in the Transmission of Japanese Encephalitis Virus