基于循环平移和DTCWT的声呐图像滤波方法  

Sonar image filtering method based on cycle shift and DTCWT

作　　者：郭海涛[1,2] 赵红叶[3] 徐雷[3] 焦圣喜[3] 侯一民[3] 

机构地区：[1]内蒙古大学电子信息工程学院,呼和浩特010021 [2]东北电力大学电气工程学院,吉林132012 [3]东北电力大学自动化工程学院,吉林132012

出　　处：《仪器仪表学报》2015年第6期1350-1355,共6页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(41076060);吉林省自然科学基金(20130101056JC);内蒙古自然科学基金(2014MS0601);内蒙古大学高层次人才引进科研(135123)项目资助

摘　　要：声呐图像散斑噪声的存在严重影响声呐图像的人工判读和自动识别。声呐图像散斑噪声滤波是声呐图像处理领域的一个重要难题。双树复小波变换(DTCWT)因其具有近似的平移不变性、良好的方向选择性已被应用于图像滤波。但这种平移不变性的近似性使得DTCWT不能较为彻底地抑制伪吉布斯现象,而导致滤波后图像的边缘存在一定程度的模糊。为了减小伪吉布斯现象和声呐图像边缘模糊,将循环平移与DTCWT结合使用,提出一种基于循环平移和DTCWT的声呐图像滤波方法。实验结果表明,该方法在滤除声呐图像散斑噪声的同时能够较好地保持声呐图像的边缘。The speckle noise in a sonar image seriously disturbs the manual interpretation and automatic identification of the sonar image. Speckle noise filtering of a sonar image is a critical difficulty in the field of sonar image processing. DTCWT（ dual tree complex wavelet transform） has been widely applied in image filtering due to its approximate shift invariance and excellent directional selectivity. However,the approximation of this kind of shift invariance makes the DTCWT not completely inhibit the pseudo Gibbs phenomenon,which leads to a certain degree of blurriness on the edges of the filtered sonar image. In order to reduce the pseudo Gibbs phenomenon and the edge blurriness of the sonar image,this paper proposes a filtering method for a sonar image based on cycle shift and DTCWT. The experiment results show that the proposed method is able to filter the speckle noise and better preserve the edges in a sonar image simultaneously.

关 键 词：声呐图像 散斑噪声 滤波 循环平移 双树复小波变换 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] TH766[自动化与计算机技术—计算机科学与技术]