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Technical Program

Paper Detail

Paper:	SPTM-P1.10
Session:	Multi-rate Signal Processing and Wavelets
Time:	Tuesday, May 16, 10:30 - 12:30
Presentation:	Poster
Topic:	Signal Processing Theory and Methods: Multi-rate Signal Processing and Wavelets
Title:	A New Estimator for Image Denoising Using a 2D Dual-Tree M-Band Wavelet Decomposition
Authors:	Caroline Chaux, Université de Marne-la-Vallée, France; Laurent Duval, Institut Français du Pétrole, France; Amel Benazza-Benyahia, URISA SUP'COM, Tunisia; Jean-Christophe Pesquet, Université de Marne-la-Vallée, France
Abstract:	We propose a new estimator for image denoising using a 2D dual-tree M-band wavelet transform. Our work extends existing block-based wavelet thresholding methods by exploiting simultaneously coefficients in the two M-band wavelet trees. The contributions of this paper are two-fold. Firstly, we perform a statistical analysis of the noise in the considered redundant decomposition. Secondly, we propose an efficient method to remove the noise. Our approach relies on an extension of Stein's formula which allows us to take into account the specific correlations of the noise components. Simulation results are then presented to validate the proposed method.