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一种改进的小波域去噪算法 被引量:12

An Improved Algorithm for De-noising in Wavelet Transform Domain
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摘要 在D.L.Donoho和I.M.Johnston提出的多分辨分析小波阈值去噪方法的基础上,提出了一种新的双变量阈值函数。采用新的阈值函数的去噪效果无论在视觉效果上,还是在信噪比增益上和最小均方意义上均优于传统的硬阈值和软阈值,克服了采用硬阈值法去噪效果不佳和软阈值法过度光滑使信号失真的缺点。并且进行了仿真实验,其结果表明了该方法的有效性和优越性。 Based on Muhiresolution analysis wavelet threshold de-noising method which is put forward by D.L.Donoho and I.M.Johnston,a new bivariate threshold function is posed.The de-noising method adopting the new threshold function gives better MSE performance and SNR gains than hard and soft thresholding methods.However,the hard thresholding is best in preserving edges but worst in de-noising,and soft thresholding is best in reducing noise but worst in preserving edges,this method incorporates the hard and soft thresholding to achieve a compromise between the two methods. Numerical simulations show that this de-noising method is effective and excellent.
作者 付炜 许山川
出处 《计算机工程与应用》 CSCD 北大核心 2006年第11期80-81,84,共3页 Computer Engineering and Applications
关键词 小波变换 阈值函数 均方误差 信噪比 wavelet transform, threshold function, MSE,SNR
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参考文献5

  • 1Weaver J B,YanSun X.Filtering noise from images with wavelet transforms[J].Magnetic Resonance in Medicine,1991, (24):288~295
  • 2Donoho D L,Johnstone I M.Ideal spatial adaptation via wavelet shrinkage[J].Biometrika,1994, 81:524~455
  • 3Donoho D L.De-noising by soft thresholding[J].IEEE Trans for Theory,1995 ,41:613~627
  • 4Shark L K,Yu C.Denoising by optimal fuzzy thresholding in wavelet domain[J].IEEE Electronics letters,2000,36(6):581~582
  • 5Dai-fei Guo.A study of Wavelet thresho1ding de-noising.IEEE proceeding of ICSP,2000:329~332

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