Lecture 3 - Denoising Using Linear Filtering

Abstract : Denoising aims at supressing as much as possible of noise that perturbs a signal or an image. This noise accounts for measurement imperfections (captors of bad quality, quantification noise, etc) and is often modeled as a gaussian white noise. In this lecture, we use a simple blurring to remove high frequencies caused by the noise. We will see the limitations of linear methods.

Denoising of 1D signals.

Image denoising.




Copyright © 2006 Gabriel Peyré