Innovation model : some theoretical results on the wavelet analysis of signals
Julien Fageot, ENS, Paris

Seminar • 08 August 2011 • BM 4.233

Abstract
The innovation model introduced by P. Tafti and M. Unser make the hypothesis that the dependancies in an image are not the result of a stochastic phenomen. We present some theoretical results in the framework of wavelet analysis : we try to understand the behavior with the scale in the innovation model (Central Limit Theorem, evolution equation, ...), and the consequences for image analysis.