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�������պ����ѧѧ�� 2007, Vol. 33 Issue (08) :894-897    DOI:
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Nonsubsampled Contourlet speckle reduction algorithm for SAR images
Guo Xujing, Wang Zulin*
School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� The nonsubsampled Contourlet(NSCT) not only overcomes the disadvantage of wavelet, the nonoptimal basis for one-dimensional singularity, but also improves the edge preservation for the shift-invariance. Therefore, a speckle reduction model based on NSCT was presented. Firstly, original image with multiplicative noise was transformed into with additive noise by means of homomorphic transform. Then, the NSCT was implemented, including two steps which were nonsubsampled pyramids and nonsubsampled directional filter banks orderly. Finally, threshold denoising method was adopted to separate the noise and signal. The simulation experiments were carried out by traditional Lee filter, wavelet filter, Contourlet filter and the above NSCT denoising model. A comparison between them was given out for remote sensing images contaminated by multiplicative noise and synthetic aperture radar(SAR) original image. Experiment results show that the performance of the NSCT is superior not only in speckle reduction but also in edge preservation.
Keywords�� nonsubsampled Contourlet   SAR image   speckle noise   image denoising     
Received 2006-10-20;
About author: ����(1975-),Ů,ɽ��������,��ʿ��,guoxj@buaa.edu.cn.
����, ������.SARͼ��ķ��²���Contourlet���������㷨[J]  �������պ����ѧѧ��, 2007,V33(08): 894-897
Guo Xujing, Wang Zulin.Nonsubsampled Contourlet speckle reduction algorithm for SAR images[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2007,V33(08): 894-897
http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2007/V33/I08/894
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