DENOISING SONAR IMAGES

The SONAR images are perturbed by speckle noise. The despecklisation is necessary to optimize the image understanding. This paper presents, starting from a denoising method proposed by Donoho, a new filtering procedure, applied in the Double Tree Discrete Wavelet Transform domain. This technique reduces the noise without affecting the discontinuities. Some simulation examples prove the performances of the new denoising method.

[1]  F. Adragna,et al.  Radiometric and spatial aspects of speckle filtering , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[2]  Jean-Marc Boucher,et al.  Multiscale MAP filtering of SAR images , 2001, IEEE Trans. Image Process..

[3]  Aria Nosratinia,et al.  Image denoising via wavelet-domain spatially adaptive FIR Wiener filtering , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[4]  A. Isar,et al.  Multi-scale MAP despeckling of sonar images , 2005, Europe Oceans 2005.

[5]  Levent Sendur,et al.  Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency , 2002, IEEE Trans. Signal Process..

[6]  N. Kingsbury.  Complex Wavelets for Shift Invariant Analysis and Filtering of Signals , 2001 .

[7]  L. Gagnon.  Wavelet Filtering of Speckle Noise - Some Numerical Results , 1999 .

[8]  I. Johnstone,et al.  Ideal spatial adaptation by wavelet shrinkage , 1994 .

[9]  Mihai Datcu,et al.  Model-based despeckling and information extraction from SAR images , 2000, IEEE Trans. Geosci. Remote. Sens..

[10]  A Statistical Analysis of the 2 D Discrete Wavelet Transform , 2005 .