3D Discrete Curvelet Transform

نویسندگان

  • Lexing Ying
  • Laurent Demanet
  • Emmanuel Candès
چکیده

In this paper, we present the first 3D discrete curvelet transform. This transform is an extension to the 2D transform described in Candès et al.. 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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تاریخ انتشار 2005