Abstract
We discuss several issues relevant for parallel wavelet transforms and their possible implications on the choice of a proper programming paradigm for corresponding multiprocessor implementations.
Chapter PDF
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
M. Feil and A. Uhl Real-time image analysis using wavelets: the “ à trous” algorithm on MIMD architectures. In D. Sinha, editor, Real-Time Imaging IV, volume 3645 of SPIE Proceedings, pages 56–65, 1999.
A. Uhl Wavelet packet best basis selection on moderate parallel MIMD architectures. Parallel Computing, 22(1):149–158, 1996.
M-L. Woo Parallel discrete wavelet transform on the Paragon MIMD machine. In R.S. Schreiber et al., editor, Proceedings of the seventh SIAM conference on parallel processing for scientific computing, pages 3–8, 1995.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Feil, M., Kutil, R., Uhl, A. (1999). Parallel Wavelet Transforms on Multiprocessors⋆. In: Amestoy, P., et al. Euro-Par’99 Parallel Processing. Euro-Par 1999. Lecture Notes in Computer Science, vol 1685. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48311-X_140
Download citation
DOI: https://doi.org/10.1007/3-540-48311-X_140
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66443-7
Online ISBN: 978-3-540-48311-3
eBook Packages: Springer Book Archive