改进型小波阈值超声图像去噪方法  

An Improved Threshold Method of Ultrasonic Image De-noising Via Wavelet Analysis

作　　者：邓世荣[1] 谭剑[2] 

机构地区：[1]衡阳华菱钢管有限公司 [2]湖南师范大学计算机教学部

出　　处：《湖南科技学院学报》2009年第4期73-75,共3页Journal of Hunan University of Science and Engineering

摘　　要：在D.L.Donoho提出的小波软、硬阈值去噪方法的基础上,提出了一种新的改进型半-软阈值方法,克服了经典小波阈值方法的缺点,能有效地改善图像的质量。通过Matlab对斑点超声图像进行去噪仿真,结果表明该方法优于软、硬阈值法,具有一定的应用价值。Based on the soft-threshold and hard-threshold wavelet de-noising methods which is given by D.L.Donoho, an improved method about semi-soft threshold overcomes the shortcomings of the traditional soft and hard-threshold is proposed ,it does better than them in denoising and can improve efficiently the quality of image. Simulations results based on Matlab indicate the method better than the traditional threshold methods to denoising speckle noise in ultrasonic image and has practical value.

关 键 词：小波变换 半-软阈值 去噪 超声图像 

分 类 号：O433[机械工程—光学工程]