Multiplicative multiresolution decomposition for 2D signals: application to speckle reduction in SAR images

Author

Serir, Amina ; Belouchrani, A.

Author_Institution

L.T.I/Fac. of Electron. Eng., U.S.T.H.B, Algiers, Algeria

Volume

1

fYear

2004

fDate

24-27 Oct. 2004

Firstpage

657

Abstract

The new concept of multiplicative multiresolution decomposition (MMD) with perfect reconstruction is presented. This kind of analysis/synthesis representation is suitable for images corrupted by multiplicative noise, e.g. synthetic aperture radar (SAR) images. The design and implementation of a nonlinear multiplicative filter bank are addressed. An application to speckle reduction in SAR images is also described. The performance of the MMD speckle reduction method is studied and compared with those of the most often used adaptive filters.

Keywords

channel bank filters; image denoising; image reconstruction; image representation; nonlinear filters; radar imaging; random noise; speckle; synthetic aperture radar; 2D signals; SAR images; adaptive filters; image reconstruction; image representation; multiplicative multiresolution decomposition; multiplicative noise; nonlinear multiplicative filter bank; perfect reconstruction; signal denoising; speckle reduction; synthetic aperture radar images; Additive noise; Filter bank; Image resolution; Noise reduction; Nonlinear filters; Signal resolution; Speckle; Synthetic aperture radar; Wavelet domain; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2004. ICIP '04. 2004 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-8554-3

Type

conf

DOI

10.1109/ICIP.2004.1418840

Filename

1418840