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

Nayani Ranasinghe

Statistical Methodologies for Temporal Networks

Enxi Lin

Spectra of Toeplitz operators on Hardy-Hilbert Spaces

Nina Hadzivukovic

Curvature dependence of reaction-diffusion front speed with nonlinear diffusion

Chih Yuan (Yuan) Chan

Investigation of the switching threshold in the Switching Observer Model for human perceptual estimation