DocumentCode :
2993153
Title :
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
Link To Document :
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