Irregular Seismic Data Reconstruction Using a Percentile-half-thresholding Algorithm

• DOI: 10.3997/2214-4609.20141569
• Publication Date: 2014-05-22T12:20:51Z
• Authors: Y. Chen; P.D. Shi; Y.Y. Wang; S.X. Wang
• Keywords: Balanced histogram thresholding

Summary In this paper, a percentile-half-thresholding approach is proposed in the transformed domain thresholding process for iterative shrinkage (IST). The percentile-thresholding strategy more convenient implementing than constant-value, linear-decreasing, or exponential-decreasing because it’s data-driven. novel half-thresholding inspired from recent advancement researches on optimization using non-convex regularization. We summarize general framework IST and show that only difference between half conventional soft hard lies operator. Thus straightforward to insert existing framework. use both synthetic field data examples compare performances with constant threshold percentile threshold. Synthetic consistent results apart threshold-setting convenience, also has possibility improving recovery performance. Compared thresholding, tends have precise reconstructed result.