Building robust wavelet estimators for multicomponent images using Stein's principle

Authors:
A. Benazza-Benyahia;J. -C. Pesquet
Affiliations:
Unite de Recherche en Imagerie Satellitaire et ses Applications, Ecole Superieure des Commun., Tunis, Tunisia;-
Venue:
IEEE Transactions on Image Processing
Year:
2005

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Abstract

Multichannel imaging systems provide several observations of the same scene which are often corrupted by noise. In this paper, we are interested in multispectral image denoising in the wavelet domain. We adopt a multivariate statistical approach in order to exploit the correlations existing between the different spectral components. Our main contribution is the application of Stein's principle to build a new estimator for arbitrary multichannel images embedded in additive Gaussian noise. Simulation tests carried out on optical satellite images show that the proposed method outperforms conventional wavelet shrinkage techniques.