首页|Wavelet domain denoising method based on multistage median filtering
Wavelet domain denoising method based on multistage median filtering
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NETL
NSTL
万方数据
维普
There are two main problems in the threshold denoising method based on wavelet transform.One is the difficulty of threshold selection,and the other is the inconsistence of the dip and curved events in the low signal-to-noise ratio (SNR)seismic data after denoising.In image denoising,multistage median filtering can preserve the details of the signal.So we proposed a denoising algorithm in wavelet transform domain based on multistage median filtering.Using this method the flat region and the edge region are differentiated by the difference between the maximum mid-value and the minimum mid-value,which preserves the details,thus improves the denoising effect.The simulation data and the real data processing results reveal that this method has stronger ability in separating signal from noise than that of the threshold denoising method.
wavelet transformmultistage median filteringdenoisingthreshold
WU Jin
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School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710121, China
国家自然科学基金Young Scholars Plan Project of Xi'an University of Posts and Telecommunications
NETL
NSTL
万方数据
维普
