Solving Inverse Problems with Sparsifying Transforms
Spring 2012
Master Semester Project
Project: 00235
![00235](./proposals/00235.jpg)
Many naturally occurring signals can be accurately represented by a small number of coefficients in some transform domain (e.g. Fourier, Wavelet). In this work, the objective is to study image estimation by using some transforms potentially beyond traditional ones. We will mostly concentrate on image denoising, i.e. cleaning up a bad quality image. Prerequisites: Basic notions in Image Processing, MATLAB (or Java with ImageJ) programming.
- Supervisors
- Ulugbek Kamilov, ulugbek.kamilov@epfl.ch, 35136, BM 4.138
- Michael Unser, michael.unser@epfl.ch, 021 693 51 75, BM 4.136
- Emrah Bostan, emrah.bostan@epfl.ch, BM 4.140