Recent developments in curvelet-based seismic processing Felix J. Herrmann (Seismic Laboratory for Imaging and Modeling Department of Earth and Ocean Sciences The University of British Columbia) SUMMARY____________________________________________________________ In this paper we present recent developments in nonlinear curvelet-based sparsity-promoting formulations of problems in the seismic data processing flow. We present our latest work on a parallel curvelet transform and recent work on a curvelet-regularized formulation for the focal transform the prediction of multiples and the computation of the inverse data space. We show that the curvelet’s wavefront detection capability and invariance under wave propagation lead to a formulation of these problems


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