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Computing with curvelets: from image processing to turbulent flows

By Jianwei Ma and Gerlind Plonka

Abstract

The curvelet transform is a multiscale and multidirectional transform, which allows an almost optimal non-adaptive sparse representation for curve-like features and edges. Applications of curvelets have quicken increasing interest in the community of applied mathematics, signal processing and seismic geology over the past years. In this paper, we describe some recent applications involving image processing, seismic data exploration, turbulent flows, and compressed sensing.

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.186.8299
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