Abstract
The first nonlinear rules for wavelet based image denoising assume wavelet coefficients are independent. However it is well-known that there are strong dependencies between coefficients such as interscale and intrascale dependencies. We have introduced a non-Gaussian bivariate pdf which exploits the interscale dependencies between a coefficient and its parent [7, 8]. In this paper, how to extend this pdf in order to include the other dependencies will be discussed and in one example we will derive a multivariate shrinkage rule. The good performance of this new rule will be illustrated on an image denoising algorithm which capture also interscale dependencies.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 953-957 |
| Number of pages | 5 |
| Journal | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Volume | 1 |
| State | Published - 2002 |
| Event | The Thirty-Sixth Asilomar Conference on Signals Systems and Computers - Pacific Groove, CA, United States Duration: Nov 3 2002 → Nov 6 2002 |
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications