改进阈值的Curvelet变换稀疏反褶积

doi:10.13810/j.cnki.issn.1000-7210.2017.03.003

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Abstract Since reflection coefficients in the Curvelet domain are rather sparse,we can achieve sparse deconvolution in the Curvelet domain,and at the same time use the spatial similarity of reflection coefficients to constraint seismic data inversion results. An improved and smooth threshold function is used for denoising,and parameters can reasonably be adjusted to flexibly change the threshold function between the hard threshold and the soft threshold. The improved threshold function is applied for sparse deconvolution in the Curvelet domain. Processing tests on both synthetic and real data show that the proposed approach performs well in the reflection coefficient inversion,has a certain resistance to noise,and can well condense wavelet to enhance seismic data resolution.

Key words： Curvelet transform threshold iteration improved threshold function sparse deconvolution

Received: 11 July 2016

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http://www.ogp-cn.com/EN/10.13810/j.cnki.issn.1000-7210.2017.03.003 OR http://www.ogp-cn.com/EN/Y2017/V52/I3/426

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