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Volumn 7, Issue 4, 2010, Pages 315-324

An iterative curvelet thresholding algorithm for seismic random noise attenuation

Author keywords

curvelet transform; iterative thresholding; random noise attenuation

Indexed keywords


EID: 78651385214     PISSN: 16727975     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11770-010-0259-8     Document Type: Article
Times cited : (37)

References (21)
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    • An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
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    • Daubechies, I.1    Defrise, M.2    de Mol, C.3
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    • Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
    • Elad, M., Starck, J. L., and Querre, P., 2005, Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA): Appl. Comput. Harmon. Anal, 19, 340-358.
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    • Simply denoise: Wavefield reconstruction via jittered undersampling
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    • Non-parametric seismic data recovery with curvelet frames
    • Herrmann, F. J., and Hennenfent, G., 2008, Non-parametric seismic data recovery with curvelet frames: Geophysical Journal International, 173(1), 233-248.
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    • Herrmann, F.J.1    Hennenfent, G.2
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    • Bayesian wavefield separation by transform-domain sparsity promotion
    • Wang, D. L., Saab, R., Yilmaz, Ö., and Herrmann, F. J., 2008, Bayesian wavefield separation by transform-domain sparsity promotion: Geophysics, 73(5), A33-A38.
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    • Wang, D.L.1    Saab, R.2    Yilmaz3    Herrmann, F.J.4
  • 20
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    • Curvelet domain-based prestack seismic data denoise method
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.