%0 Journal Article
%T Side-scan sonar image despeckling based on block-matching and 3D filtering<br>侧扫声呐图像的3维块匹配降斑方法
%A Fan Xijian
%A Li Qingwu
%A Huang He
%A Wang Min
%A <br>范习健
%A 李庆武
%A 黄河
%A 王敏
%J 中国图象图形学报
%D 2012
%I 
%X Speckle noise is the major factor affecting the quality of side-scan sonar images. Side-scan sonar image despeckling has therefore a great significance to object identification and image processing.According to side-scan sonar image characteristic and distribution of speckle noise,a despeckling method based on block-matching and 3D filtering (BM3D) is proposed in this paper.A Rayleigh distributed multiplicative speckle noise model is established according to a seabed scattering model.Rayleigh distributed of speckle noise is changed into Gaussian distribution by the Gaussian smooth function power transform.The multiplicative noise is changed into additive noise by a logarithmic transform.Then,the transformed images are filtered by an efficient BM3D algorithm.Last,the final images are achieved by inverse transform.The experimental results show that the new algorithm has a better performance in terms of edge preserving and denoising than other spatial filtering,wavelet and Curvelet domain filtering methods.
%K side-scan sonar image
%K speckle noise
%K despeckling
%K block-matching and 3D filtering<br>侧扫声呐图像
%K 斑点噪声
%K 降斑
%K 3维块匹配
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=9903A07B9322879A825B1F397B7951DE&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=CA4FD0336C81A37A&sid=68D88C2FCF9C3098&eid=67969BA850333433&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=17