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一种新的基于小波变换的图像消噪方法
引用本文:杨龙平,丁宣浩,孙建明.一种新的基于小波变换的图像消噪方法[J].云南民族大学学报(自然科学版),2005,14(1):71-74.
作者姓名:杨龙平  丁宣浩  孙建明
作者单位:桂林电子工业学院通信与信息工程系,广西桂林,541004;桂林电子工业学院计算科学与数学系,广西桂林,541004
摘    要:一种新的基于小波变换的图像消噪方法是在运用小波变换对含噪图像进行消噪前,先对图像进行小波级数分解,对其中的低频系数和高频系数进行适当的放大;然后对图像采取局部阈值消噪法进行消噪;最后运用小波变换对所得到的图像小波系数进行适当的缩小并将其重构.仿真实验证明这种方法比一般的诸如中值滤波和维纳滤波等图像消噪方法有很大的改进,特别是图像均方差(MSE)有很大的降低,而图像的信噪比也有较为明显的提高。

关 键 词:图像消噪  小波变换  低频  小波级数  小波系数  信噪比  MSE  局部阈值  维纳滤波  中值滤波
文章编号:1672-8513(2005)01-0071-04
修稿时间:2004年7月8日

A New Image Denoising Method Based on Wavelet Transform
YANG Long-ping,DING Xuan-hao,SUN Jian-ming.A New Image Denoising Method Based on Wavelet Transform[J].Journal of Yunnan Nationalities University:Natural Sciences Edition,2005,14(1):71-74.
Authors:YANG Long-ping  DING Xuan-hao  SUN Jian-ming
Abstract:A new image denoising method based on wavelet transform is proposed. The coefficients including low frequency and high frequency of wavelet transform are magnified properly before using image denoising method based on wavelet transform. Then the noise in image is eliminated by using local threshold wavelet method. In the last, the coefficients of wavelet transform are reduced aptly and restructured. According to the result of experiment, the given algorithm is much better than the conditional median value filtering method and Wiener filtering method. Especially, the MSE of image has been decreased a lot while the PSNR being improved markedly.
Keywords:wavelet transform  coefficient magnify  median value filtering  wiener filtering
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