Wavelet Threshold De-Noising Based on Improved Hyperbola Thresholding Function
|更新时间:2026-09-14
|
Wavelet Threshold De-Noising Based on Improved Hyperbola Thresholding Function
基于双曲线阈值函数的小波阈值降噪方法
Vol. 31, Issue 6, Pages: 625-630(2010)
作者机构:
1. 中北大学仪器科学与动态测试教育部重点实验室
2. 中国空空导弹研究院
作者简介:
基金信息:
DOI:
CLC:
Published:2010
稿件说明:
移动端阅览
王浩全, 王军, 金相男. Wavelet Threshold De-Noising Based on Improved Hyperbola Thresholding Function[J]. 2010, 31(6): 625-630.
DOI:
王浩全, 王军, 金相男. Wavelet Threshold De-Noising Based on Improved Hyperbola Thresholding Function[J]. 2010, 31(6): 625-630.DOI:
Wavelet Threshold De-Noising Based on Improved Hyperbola Thresholding Function
摘要
在分析小波阈值降噪原理的基础上
为了克服硬阈值函数不连续和软阈值函数中估计小波系数与分解小波系数之间存在恒定偏差的问题
构造了一种改进的双曲线阈值函数.该方法通过调整参数可实现阈值函数形状的改变
采用对非重要小波系数的处理
不是均设为0
系数由多项式调节以接近理想小波系数
使得该阈值函数既具有软阈值函数连续、高阶可导的优点
又便于进行各种数学处理.经实验验证
这种方法不仅可以有效地去除噪声
而且还可以保留图像的细节信息
比传统阈值方法更接近最佳情况.
Abstract
Based on analyzing the principle of wavelet threshold de-nosing
a hyperbola thresholding function is presented in order to overcome the discontinuance of the hard thresholding function and the constant deviation between the estimated wavelet coefficients and the decomposition wavelet coefficients in the soft thresholding function.The shape of new thresholding function can be changed visually by adjusting the parameters of hyperbola.The algorithm is improved by a non-important wavelet coefficient which is not supposed as zero but adjusted to approach its ideal wavelet coefficient by polynomial.The new thresholding function is simple in expression as continuous as the soft thresholding function and has a high order derivative which makes some kinds of mathematical disposals conveniently.At the same time
the new threshold function is more elastic than the soft-threshold and the hard-threshold functions.The simulation results show that the method can remove noise effectively
retain detail information of images
and can be closer than the traditional threshold method to the best situation.
关键词
Keywords
references
马恒,卞鸿巍,许江宁.基于小波降噪算法的动态测试系统[J].测试技术学报,2006,20(4):294-298.Ma Heng,Bian Hongwei,Xu Jiangning.The dynamic test system based on periodic translation wavelet shrinkage de-noising algorithm[J].Journal of Test and Measurement Technology,2006,20(4):294-298.(in Chinese)
崔华,宋国乡.基于小波阈值去噪方法的一种改进方案[J].现代电子技术,2005,192(1):8-10.Cui Hua,Song Guoxiang.A kind of modified project based on the wavelet threshold denoising method[J].ModernElectronics Technique,2005,192(1):8-10.(in Chinese)
Donoho D L.De-noising by soft-threshold[J].IEEE Transaction on information Theory,1995,41:613-627.
曲巍崴,高峰.基于噪声方差估计的小波阈值降噪研究[J].机械工程学报,2010,46(2):28-31.Qu Weiwei,Gao Feng.Study on wavelet threshold de-noising algorithm based on estimation of noise variance[J].Journal of Mechanical Ineering,2010,46(2):28-31.(in Chinese)
潘显兵.一种改进的小波阈值降噪方法性能分析[J].微计算机信息,2006,22(3-1):112-113.Pan Xianbing.Analysis of an improved methods in wavelet threshold de-noising[J].Control&Automation,2006,22(3-1):112-113.(in Chinese)
张维强,宋国乡.基于一种新的阈值函数的小波域信号去噪[J].西安电子科技大学学报,2004,4(2):296-299.Zhang Weiqiang,Song Guoxiang.Signal de-noising in wavelet domain based on a new kind of thresholding function[J].Journal of XiDian University(Natural Science Edition),2004,31(2):296-299.(in Chinese)
Gao H.Wavelet shrinkage denoising using the nonnegative garrote[J].Comput.Graph.Stat.7,1998:469-488.
Crouse M S,Nowak R D,Baraniuk R G.Wavelet-based signal processing using hidden Markov models[J].IEEETrans.Signal Process,1998(46):886-902.
王福友,刘刚,袁赣南.基于小波阈值算法的海杂波信号去噪[J].雷达与对抗,2009(2):21-25.Wang Fuyou,Liu Gang,Yuan Gannan.Wavelet threshold-based sea clutter signal denoising.Radar and ECM[J],2009(2):21-25.(in Chinese)