Nonequispaced curvelet transform for seismic data reconstruction: A sparsity-promoting approach
نویسندگان
چکیده
منابع مشابه
Sparsity- and continuity-promoting seismic image recovery with curvelet frames
A nonlinear singularity-preserving solution to seismic image recovery with sparseness and continuity constraints is proposed. We observe that curvelets, as a directional frame expansion, lead to sparsity of seismic images and exhibit invariance under the normal operator of the linearized imaging problem. Based on this observation we derive a method for stable recovery of the migration amplitude...
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In this letter, the solutions to three seismic processing problems are presented that exploit the multiscale and multi-angular properties of the curvelet transform. Data regularization, multiple removal, and restoration of migration amplitudes are all formulated in terms of a sparsity promoting program that employs the high degree of sparsity attained by curvelets on seismic data and images. Fo...
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ژورنال
عنوان ژورنال: GEOPHYSICS
سال: 2010
ISSN: 0016-8033,1942-2156
DOI: 10.1190/1.3494032