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一种基于新型小波包阈值的图像去噪方法
引用本文:胡波,陈恳,徐建瑜.一种基于新型小波包阈值的图像去噪方法[J].宁波大学学报(理工版),2009,22(4):454-458.
作者姓名:胡波  陈恳  徐建瑜
作者单位:宁波大学,信息科学与工程学院,浙江,宁波,315211
基金项目:浙江省教育厅科学研究计划项目 
摘    要:提出了一种基于小波包理论去除图像噪声的方法,用小波包把图像分解为高频分量和低频分量,根据高频分量估计噪声的标准差,并利用该标准差以及Birge-Massart惩罚函数计算阈值.鉴于传统软硬阈值的缺陷,采用一种新型阈值量化方法,用三次多项式在硬阈值的基础上插值,使新的阈值函数保持了连续性和可导性.通过这种方法既消除了图像的振铃现象,又保留了细节成分.实验表明:与传统方法相比,新方法使图像视觉效果和峰值信噪比均获得提高.

关 键 词:图像去噪  小波包  惩罚函数  新型阈值  三次多项式

A Method for Image Denoising Based on New Wavelet Packet Threshold
HU Bo,CHEN Ken,XU Jian-yu.A Method for Image Denoising Based on New Wavelet Packet Threshold[J].Journal of Ningbo University(Natural Science and Engineering Edition),2009,22(4):454-458.
Authors:HU Bo  CHEN Ken  XU Jian-yu
Institution:HU Bo,CHEN Ken,XU Jian-yu(Faculty of Information Science and Technology,Ningbo University,Ningbo 315211,China)
Abstract:An image denosing method based on wavelet packet theory is proposed in this paper.Wavelet packet is first used to decompose the image into the low and high frequency components.The standard deviation of the noise is estimated through high frequency components.Then,the estimated standard deviation is applied together with Birge-Massart penalized function to calculate the threshold.To remedy drawbacks identified in the traditional soft and hard threshold for image denoising,this paper presents a new threshold...
Keywords:image denoising  wavelet packet  penalized function  new threshold  cubic polynomial  
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