Abstract
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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References
Chui Ch. K., An Introduction to Wavelets, Academic Press, Inc., 1992
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 1992
Grossmann A., Morlet J., Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape, SIAM J. Math. Anal. (4), 15, 1984, pp. 723–736
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© 1994 Springer-Verlag Berlin Heidelberg
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Zemła, A. (1994). Wavelet transforms computing on PVM. In: Dongarra, J., Waśniewski, J. (eds) Parallel Scientific Computing. PARA 1994. Lecture Notes in Computer Science, vol 879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030180
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DOI: https://doi.org/10.1007/BFb0030180
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