| 2,460 | 175 | 26 |
| 下载次数 | 被引频次 | 阅读次数 |
采用均值滤波和小波变换相结合的图像去噪方法是先将含噪图像进行小波分解,在小波域中,选取适当的阈值对小波系数进行处理,然后对图像信号进行局部重构至第一层,并采用不同的模板对第一层的各细节子图像进行均值滤波,最后将低频近似图像与均值滤波后高频细节图像合成得到去噪后的图像。这种方法与全局Donoho软、硬阈值小波去噪方法和Birge-Massart策略软、硬阈值小波去噪方法相比,其去噪效果更为明显。它在降低了图像的噪声的同时,又尽可能地保留图像的细节,且图像更加平滑。仿真实验证明,该方法是一种有效的图像去噪方法。
Abstract：A method of image de-noising technology based on the mean filtering and wavelet transformation is proposed.Firstly noised-image was decomposed by wavelet transformation and the wavelet parameters were processed using reasonable threshold value in the domain of wavelet.Then the image can be reconstructed correctly to the first layer and according to respective characteristics every sub-band images were denoised by different filter templates.Lastly denoised-image was obtained by composing the three high frequency detail images with mean filtering and low frequency approximation image.Compared with the wavelet de-noising methods of global Donoho soft,hard threshold and the wavelet de-noising methods of Birge-Massart strategy soft,hard threshold,the de-noising effect of this way is more obvious.It not only reduces the noise of the image,but also retains the detail of the image,and the image looks more smoother.The experiment proves this method is an effect way of de-noising image.
[1]赵书兰.MATLAB R2008数字图像处理与分析实例教程[M].北京:化学工业出版社,2009.
[2]Vidakovie B,Johnstone C B.On time dependent wavelete de-noising[J]:IEEE Trans Signal Processing,1998,46(9):2549-2551.
[3]Burrus C S,Gopinath R A,Guo h T.Introduction to Waveletsand waveletTransform[M].[s.l.]:Prentic Hall,Upper Sad-dle River,2002.
[4]Daubechies I.The Wavelet Transform:Time-frequency local-ization and signal analysis[J].IEEE Trans Theory,2000,36:961-1005.
[5]王茜.小波变换及在图像去噪中的应用[J].福建电脑,2008(11):72-73.
[6]史玉林,李飞飞,孙益顶.基于均值滤波和小波分析的图像去噪[J].电子测量技术,2008,31(8):140-157.
[7]陈武凡.小波分析及其在图像处理中的应用[M].北京:科学出版社,2002.
[8]张德丰.基于小波的信号阈值去噪算法研究[J].现代计算机,2007(5):26-28.
[9]周密,李尊尊,耿国华.基于小波阈值的图像去噪方法研究[J].计算机技术与发展,2008,18(5):22-24.
[10]邢丹俊,王继成.基于提升小波的自适应阈值图像去噪[J].计算机技术与发展,2008,18(2):42-45.
[11]赵婷婷,苑惠娟,邹纯宏.基于小波分析的阈值去噪改进算法[J].国外电子测量技术,2007,26(3):12-13.
[12]尉世强.一种改进小波阈值图像去噪方法[J].大众科学,2007(13):38-39.
基本信息:
中图分类号:TN911.73
引用信息:
[1]颜兵,王金鹤,赵静.基于均值滤波和小波变换的图像去噪技术研究[J].计算机技术与发展,2011,21(02):51-53+57.
基金信息:
山东省教育科技计划项目(J08LJ64)
2011-02-10
2011-02-10