A New Estimator for Image Denoising Using a 2D Dual-Tree M-Band Wavelet Decomposition

Author

Chaux, Caroline ; Duval, Laurent ; Benazza-Benyahia, Amel ; Pesquet, Jean-Christophe

Author_Institution

IGM, Universite de Marne-la-Vallee

Volume

3

fYear

2006

fDate

14-19 May 2006

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

Keywords

image denoising; image segmentation; statistical analysis; trees (mathematics); wavelet transforms; 2D dual-tree M-band wavelet decomposition; block-based wavelet thresholding methods; image denoising; redundant decomposition; statistical analysis; Computer science; Decorrelation; Discrete transforms; Discrete wavelet transforms; Image denoising; Mathematics; Noise robustness; Statistical analysis; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660637

Filename

1660637