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- W2257395001 abstract "Continuity along reflectors in seismic images is used via Curvelet representation to stabilize the convolution operator inversion. The Curvelet transform is a new multiscale transform that provides sparse representations for images that comprise smooth objects separated by piece-wise smooth discontinuities (e.g. seismic images). Our iterative Curvelet-regularized deconvolution algorithm combines conjugate gradient-based inversion with noise regularization performed using non-linear Curvelet coefficient thresholding. The thresholding operation enhances the sparsity of Curvelet representations. We show on a synthetic example that our algorithm provides improved resolution and continuity along reflectors as well as reduced ringing effect compared to the iterative Wiener-based deconvolution approach." @default.
- W2257395001 created "2016-06-24" @default.
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- W2257395001 date "2005-01-01" @default.
- W2257395001 modified "2023-09-23" @default.
- W2257395001 title "Sparseness-constrained seismic deconvolution with curvelets" @default.
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- W2257395001 doi "https://doi.org/10.14288/1.0107389" @default.
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