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
Chih Yuan (Yuan) Chan
Investigation of the switching threshold in the Switching Observer Model for human perceptual estimation
Brenton Horne
Investigating spontaneous symmetry breaking of spatial Kerr solitons in fractional spatial dimensions using Fourier spectral methods.
