De-speckling of SAR images by directional smoothing of wavelet coefficients and de-blurring

Authors:
Ashkan Masoomi;Zargham Heydari
Affiliations:
Islamic Azad University of Bushehr, Iran;Islamic Azad University of Khormoj
Venue:
ISCGAV'10 Proceedings of the 10th WSEAS international conference on Signal processing, computational geometry and artificial vision
Year:
2010

Citing 5
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Abstract

This paper represented a tow-step apporach to improve de-speckling in SAR images. Firstly, smoothing of the coefficents of the highest wavelet sub-bands is applied on decompoed wavelet coefficients. A Gaussian low pass filter using a trous algorithm has been used to decompose the image. Then, the learning of a Kohonen self organizing map (SOM) is performed directly on the denoised image to take out the blur. All traditional speckle reduction apporach cause artifical structures, blurred and smoothed image, so intelligent de-bluring technique capture these problems. Quantitative and qualitive comparisions of the results obtained by the new method with the results achieved from the other speckle noise reduction techniques demonstrate its higher performance for speckle reduction in SAR images.