A new wavelet thresholding approach for SAS images denoising

Author

Mallet, Julien ; Courmontagne, Philippe

Author_Institution

Inst. Superieur d´´Electron. du Nord, Toulon

fYear

2006

fDate

18-21 Sept. 2006

Firstpage

1

Lastpage

6

Abstract

SAS (Synthetic Aperture Sonar) is actively used in sea bed imagery. Indeed high resolution images provided by SAS are of great interest, especially for the detection, localization and eventually classification of objects lying on sea bed. Unfortunately, SAS images are highly corrupted by a granular multiplicative noise, called speckle noise, which reduces spatial and radiometric resolutions. The purpose of this article is to present a new wavelet thresholding approach, which ensures both a strong denoising and a spatial resolution preservation. Results obtained on real SAS data are presented and compared with those obtained using classing wavelet-based denoising approaches

Keywords

image denoising; interference suppression; object detection; oceanographic techniques; sonar signal processing; SAS images denoising; Synthetic Aperture Sonar; granular multiplicative noise; high resolution images; objects classification; objects detection; objects localization; radiometric resolution; sea bed imagery; spatial resolution; speckle noise; wavelet thresholding approach; Anisotropic magnetoresistance; Discrete wavelet transforms; Image denoising; Image resolution; Noise reduction; Signal processing; Spatial resolution; Speckle; Synthetic aperture sonar; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS 2006

Conference_Location

Boston, MA

Print_ISBN

1-4244-0114-3

Electronic_ISBN

1-4244-0115-1

Type

conf

DOI

10.1109/OCEANS.2006.306816

Filename

4098971