Wavelet transforms computing on PVM

  • Adam Zemła
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 879)


Parallel computing methods are developed especially in these centers, that have expensive multiprocessor computers. The advantage of PVM (Parallel Virtual Machine) is that it permits a network of heterogeneous Unix computers to be used as a single large parallel computer. Thus large computational problems can be solved by using the aggregate power of many computers.

In this report we present some PVM computational experiments concerned the wavelet transforms in an image processing. Some PVM experiments were made on IBM PC 486 working under LINUX system.


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  1. [1]
    Chui Ch. K., An Introduction to Wavelets, Academic Press, Inc., 1992Google Scholar
  2. [2]
    Antoine J.-P., Murenzi R., Piette B., Image Analysis with 2D Continuous Wavelet Transform: Detection of Position, Orientation and Visual Contrast of Simple Objects, in Wavelets and applications, ed. Y. Meyer, Paris 1992Google Scholar
  3. [3]
    Grossmann A., Morlet J., Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape, SIAM J. Math. Anal. (4), 15, 1984, pp. 723–736Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • Adam Zemła
    • 1
  1. 1.Institute of MathematicsPolish Academy of SciencesWarsawPoland

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