基于小波变换与中值滤波的CT图像去噪研究  

A Denoising Research of CT Images Based on Wavelet Transformation and Median Filter

作　　者：傅爽[1] 韩广兵[2] 

机构地区：[1]山东中医药大学理工学院 [2]山东大学物理学院

出　　处：《世界最新医学信息文摘》2012年第1期54-56,共3页World Latest Medicine Information Electronic Version

摘　　要：去噪是图像处理中的一个非常重要的问题．中值滤波去噪方法在降低噪声的同时会模糊图像的细节和边缘，基于小波变换的图像去噪方法能在降低图像噪声的同时较好地保持图像的细节和边缘，但对椒盐噪声效果不甚明显。本文综合小波域去噪和中值滤波去噪两种方法对被高斯噪声和椒盐噪声污染的CT图像进行去噪，与单纯的小波变换方法相比，效果较好。Denoising is an important issue in image processing. Denoising with median filter has tradeoff between reducing the noise level and preserving the high -frequency edges of the image. Denoising with wavelet transformation is the method cannot only remove the noise of the image but also preserve the edg- es and details of the image, which is useless to the salt＆sepper noise. The paper eliminate Gauss noise and salt＆sepper noise from the CT image based on wavelet transformation and median filter. Its result was better, compared with wave- let transformation only.

关 键 词：CT图像 小波变换 中值滤波 

分 类 号：R319[医药卫生—基础医学]