作者:Boxin Zuo,Xiangyun Hu,Meixia Geng
摘要:Ringing artifact degradations always appear in the deconvolution of geophysical data. To address this problem, we propose a postprocessing approach to suppress ringing artifacts that uses a novel anisotropic diffusion based on a stationary wavelet transform(SWT) algorithm.In this paper, we discuss the ringing artifact suppression problem and analyze the characteristics of the deconvolution ringing artifact. The deconvolution data containing ringing artifacts are decomposed into different SWT subbands for analysis, and a new multiscale adaptive anisotropic filter is developed to suppress these degradations.Finally, we demonstrate the performance of the proposed method and describe the experiments in detail.
发文机构:China University of Geosciences
关键词:各向异性扩散地球物理数据环状伪影多尺度积数振铃效应平稳小波变换各向异性滤波DeconvolutionRinging artifactsAnisotropicdiffusionStationary wavelet transform algorithmMultiscale
分类号: TP391.41[自动化与计算机技术—计算机应用技术][自动化与计算机技术—计算机科学与技术]P631.14[天文地球—地质矿产勘探][天文地球—地质学]