Abstract
The purpose of this paper is to present this new parallel image compression algorithm. We present implementation results on several parallel computers. We also examine load balancing and data mapping problems. We end by presenting a well-suited architecture for Real-Time image compression.
Keywords
Download to read the full chapter text
Chapter PDF
References
M. Antonini, M. Barlaud, P. Mathieu, I. Daubechies. Image coding Using Wavelets Transform. IEEE Trans. on Image processing 1(4):205–220, 1992.
S. G. Mallat. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. on Pattern Analysis and Machine Inte lligence, 11(7): 674–693, 1989.
A. Gersho, R.M. Gray. Vector Quantization and Signal Compression. Kluwer Academic Publisher, Boston, 1992.
M. Nelson. The Data Compression book. Prentice Hall, Redwood Cityes, 1991.
M. J. Quinn. Designing Efficient Algorithms for Parallel Computers. McGraw-Hill, New York, NY, 1987.
R. W. Hockney and C. R. Jesshope. Parallel Computers: 2 Architecture, Programming, and Algorithms, 2nd Ed. IOP Publishing Ltd., Pennsylvania, 1988.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Moravie, P., Essafi, H., Lambert-Nebout, C., Basille, J.L. (1995). Real-time image compression using data-parallelism. In: Haridi, S., Ali, K., Magnusson, P. (eds) EURO-PAR '95 Parallel Processing. Euro-Par 1995. Lecture Notes in Computer Science, vol 966. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020511
Download citation
DOI: https://doi.org/10.1007/BFb0020511
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60247-7
Online ISBN: 978-3-540-44769-6
eBook Packages: Springer Book Archive