Innovation model : some theoretical results on the wavelet analysis of signals
Julien Fageot, ENS, Paris
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.
Julien Fageot, ENS, Paris
Seminar • 08 August 2011 • BM 4.233
AbstractThe 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.