Description: we present the first 3D discrete curvelet transform. This transform is an extension to the 2D
transform described in Cand`es et al..1 The resulting curvelet frame preserves the important properties, such
as parabolic scaling, tightness and sparse representation for singularities of codimension one. We describe three
different implementations: in-core, out-of-core and MPI-based parallel implementations. Numerical results verify
the desired properties of the 3D curvelets and demonstrate the efficiency of our implementations.
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- [CurveLab] - curve fast matching Matlab procedures, i
- [CurveLab1.0] - curvelet lab, including the matlab toolb
- [Woiselle_poster] - This paper presents two new 3D curvelet
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