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Hardware and Software Aspects for 3-D Wavelet Decomposition on Shared Memory MIMD Computers

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Book cover Parallel Computation (ACPC 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1557))

Abstract

In this work we discuss hardware and software aspects of parallel 3-D wavelet/subband decomposition on shared memory MIMD computers. Experimental results are conducted on a SGI POWERChallenge GR.

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References

  1. S.M. Akramullah, I. Ahmad, and M.L. Liou. A data-parallel approach for real-time MPEG-2 video encoding. Journal of Parallel and Distributed Computing, 30:129–146, 1995.

    Article  Google Scholar 

  2. C.D. Creusere. Image coding using parallel implementations of the embedded zerotree wavelet algorithm. In B. Vasudev, S. Frans, and P. Sethuraman, editors, Digital Video Compression: Algorithms and Technologies 1996, volume 2668 of SPIE Proceedings, pages 82–92, 1996.

    Google Scholar 

  3. A.C. Downton. Generalized approach to parallelising image sequence coding algorithms. IEE Proc.-Vis. Image Signal Processing, 141(6):438–445, December 1994.

    Google Scholar 

  4. J. Fridman and E.S. Manolakos. On the scalability of 2D discrete wavelet transform algorithms. Multidimensional Systems and Signal Processing, 8(1–2):185–217, 1997.

    MATH  Google Scholar 

  5. K.H. Goh, J.J. Soraghan, and T.S. Durrani. New 3-D wavelet transform coding algorithm for image sequences. Electronics Letters, 29(4):401–402, 1993.

    Article  Google Scholar 

  6. B.J. Kim and W.A. Pearlman. An embedded wavelet video coder using three-dimensional set partitioning in hierarchical trees (SPHIT). In Proceedings Data Compression Conference (DCC’97), pages 251–259. IEEE Computer Society Press, March 1997.

    Google Scholar 

  7. C. Koc, G. Chen, and C. Chui. Complexity analysis of wavelet signal decomposition and reconstruction. IEEE Trans. on Aereospace and Electronic Systems, 30(3):910–918, July 1994.

    Google Scholar 

  8. D. Krishnaswamy and M. Orchard. Parallel algorithm for the two-dimensional discrete wavelet transform. In Proceedings of the 1994 International Conference on Parallel Processing, pagesIII:47–54, 1994.

    Google Scholar 

  9. G. Lafruit and J. Cornelius. Parallelization of the 2D fast wavelet transform with a space-filling curve image scan. In A.G. Tescher, editor, Applications of Digital Image Processing XVIII, volume 2564 of SPIE Proceedings, pages 470–482, 1995.

    Google Scholar 

  10. A.S. Lewis and G. Knowles. Video compression using 3D wavelet transforms. Electronics Letters, 26(6):396–398, 1990.

    Article  Google Scholar 

  11. H. Nicolas, A. Basso, E. Reusens, and M. Schutz. Parallel implementations of image sequence coding algorithms on the CRAY T3D. Technical Report Super-computing Review 6, EPFL Lausanne, 1994.

    Google Scholar 

  12. J.N. Patel, A.A. Khokhar, and L.H. Jamieson. Scalability of 2-D wavelet transform algorithms: analytical and experimental results on coarse-grain parallel computers. In Proceedings of the 1996 IEEE Workshop on VLSI Signal Processing, pages 376–385, 1996.

    Google Scholar 

  13. K. Shen, G.W. Cook, L.H. Jamieson, and E.J. Delp. An overview of parallel processing approaches to image and video compression. In M. Rabbani, editor, Image and Video Compression, volume 2186 of SPIE Proceedings, pages 197–208, 1994.

    Google Scholar 

  14. S. Sullivan. Vector and parallel implementations of the wavelet transform. Technical report, Center for Supercomputing Research and Development, University of Illinois, Urbana, 1991.

    Google Scholar 

  15. D. Taubman and A. Zakhor. Multirate 3-D subband coding of video. IEEE Transactions on Image Processing, 5(3):572–588, September 1993.

    Google Scholar 

  16. 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.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science and System Analysis, University of Salzburg, Austria

    Rade Kutil

  2. RIST++ & Department of Computer Science and System Analysis, University of Salzburg, Austria

    Andreas Uhl

Authors
  1. Rade Kutil
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  2. Andreas Uhl
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Editor information

Editors and Affiliations

  1. Forschungsinstitut für Softwaretechnologie, Hellbrunnerstr. 34, A-5020, Salzburg, Austria

    Peter Zinterhof

  2. Slovac Academy of Sciences, Institute of Mathematics, Laboratory for Informatics, Dubravska 9, P.O.Box 56, 840 00, Bratislava, Slovakia

    Marian Vajteršic

  3. Universität Salzburg, RIST++, Hellbrunnerstr. 34, A-5020, Salzburg, Austria

    Andreas Uhl

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© 1999 Springer-Verlag Berlin Heidelberg

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Kutil, R., Uhl, A. (1999). Hardware and Software Aspects for 3-D Wavelet Decomposition on Shared Memory MIMD Computers. In: Zinterhof, P., Vajteršic, M., Uhl, A. (eds) Parallel Computation. ACPC 1999. Lecture Notes in Computer Science, vol 1557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49164-3_33

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  • DOI: https://doi.org/10.1007/3-540-49164-3_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65641-8

  • Online ISBN: 978-3-540-49164-4

  • eBook Packages: Springer Book Archive

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