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.
發文機構:China University of Geosciences
關鍵詞:各向異性擴散地球物理數據環狀偽影多尺度積數振鈴效應平穩小波變換各向異性濾波DeconvolutionRinging artifactsAnisotropicdiffusionStationary wavelet transform algorithmMultiscale
分類號: TP391.41[自動化與計算機技術—計算機應用技術][自動化與計算機技術—計算機科學與技術]P631.14[天文地球—地質礦產勘探][天文地球—地質學]