基于多小波分析的超声斑纹噪声抑制方法研究  

Study of Reduction Speckle of Ultrasound Image Based on Multiwavelet Analysis

作　　者：刘立庄[1] 卞正中[1] 周秦武[1] 

机构地区：[1]西安交通大学生命科学与技术学院,陕西西安710049

出　　处：《软件学报》2003年第9期1551-1557,共7页Journal of Software

基　　金：国家自然科学基金~~

摘　　要：多小波是对小波理论的一个新发展,它可以同时满足正交性、对称性、短支撑等良好特性要求,而标量小波不能同时达到这些要求.提出了一种新的基于多小波、多分辨率分析抑制超声斑纹噪声的理论和方法,通过评价两种多小波的分解与重构,得到了两种可以分别适用于这两类多小波的最佳预处理方法,给出了多小波变换的解析表达式.在二维图像阵列的应用方面,通过采用局部方差作为阈值,对超声斑纹图像进行阈值化去噪处理的实验结果表明,多小波变换在有效抑制斑纹噪声的同时,相对于其他方法还能更好地保留原图像的边界等重要特征信息.Multiwavelets is a new development to the body of wavelet theory. Multiwavelets simultaneously offers orthogonality, symmetry, and short support, which is not possible with scalar two-channel wavelet systems. A new theory and algorithm for speckle reduction of ultrasound (US) image with multiwavelets multiple resolution analysis (MRA) are presented and investigated. The decomposition ratio and reconstruction error of two kinds of multiwavelets are evaluated and the optimum pre-filters suitable for the two kinds of multiwavelets are obtained. Fully and clearly analytic expression of multiwavelet transformation is given. The experiment of speckle reduction to US image is implemented by choosing local error as threshold. Results show that multiwavelet transformation is useful for speckle reduction and there have little noise and reserve important image features such as boundary when compared to results obtained from existing the denoising methods alone.

关 键 词：多小波变换 超声成像 斑纹噪声 预滤波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]