Wavelet packet image decomposition on MIMD Architectures

  • Authors:
  • Manfred Feil;Andreas Uhl

  • Affiliations:
  • Research Institute for Software Technology;Research Institute for Software Technology and Department of Scientific Computing University of Salzburg, Jakob-Haringerstr. 2, A-5020 Salzburg, Austria

  • Venue:
  • Real-Time Imaging
  • Year:
  • 2002

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Abstract

In this work, we describe and analyze algorithms for 2D wavelet packet (WP) decomposition for multicomputers and multiprocessors. In the case of multicomputers, the main goal is the generalization of former parallel WP algorithms which are constrained to a number of processor elements equal to a power of 4. For multiprocessors, we discuss several optimizations of shared-memory algorithms and finally we compare the results obtained on multicomputers and multi-processors employing the message passing (MPI) and shared-memory programming (OpenMP) paradigm, respectively.