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

Jaco van Tonder

Special Solutions to the Ricci Flow on 4-Dimensional Principal Bundles

Isaac Bankier

Freely Adding Equality to Primary Fibrations

Yihong Mei

Non-stationary dynamics of climate statistics and its visualization

Shirley Wang

Post Quantum Cryptography