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基于小波收缩阈值和维纳滤波的去噪方法
引用本文:胡洋,张颖,熊成基,陈雪波.基于小波收缩阈值和维纳滤波的去噪方法[J].鞍山科技大学学报,2010(5).
作者姓名:胡洋  张颖  熊成基  陈雪波
作者单位:辽宁科技大学电子与信息工程学院;
摘    要:针对高斯噪声图像的结构特点及传统去噪方法中所存在的问题,提出一种基于小波收缩阈值法和维纳滤波法相结合的图像去噪方法。采用小波收缩阈值法对图像进行去噪,对处理后的图像用维纳滤波法进行平滑处理。采用独立自适应阈值,对其子带阈值进行确定,并引入调节系数。仿真结果表明,所提出的方法在高斯去噪效果和保留图像细节信息性能方面优于中值滤波算法、均值滤波算法等方法。

关 键 词:图像去噪  小波阈值  维纳滤波  

Denoising method with wavelet shrinkage adaptive thresholding and wiener filter
HU Yang,ZHANG Ying,XIONG Cheng-ji,CHEN Xue-bo.Denoising method with wavelet shrinkage adaptive thresholding and wiener filter[J].Journal of Anshan University of Science and Technology,2010(5).
Authors:HU Yang  ZHANG Ying  XIONG Cheng-ji  CHEN Xue-bo
Institution:HU Yang,ZHANG Ying,XIONG Cheng-ji,CHEN Xue-bo(School of Electronic and Information Engieering,University of Science and Technology Liaoning,Anshan 114051,China)
Abstract:In accordance with the problem of Gaussian noise and the traditional image of the structural features in the image denoising,a denoise method is proposed based on wavelet shrinkage adaptive thresholding and wiener filter.Firstly,the image denoise is carried out by using wavelet shrinkage adaptive thresholding,then the smoothing processing is carried out for the processed image with the Wiener filtering method.The sub-band threshold of independent adaptive threshold is determined with the adjustment coeffici...
Keywords:image denoise  wavelet threshold  winner filter  
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