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

Louisa Best

Phonetic Spelling Correction Using Vector Space Models and Dimensionality Reduction

Saakshi Singh

Brauer Monoid Factorisations using Machine Learning Techniques

Mark Youssef

Bayesian Estimation of Stationary Time Series Models with Exogenous Inputs

Yangda Bei

Rouquier Complexes and Link Invariants