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Abstract: One major difficulty in parallel architecture design for the Discrete Wavelet Transform (DWT) is that the DWT is not a block transform, with the exception of the trivial Haar transform. As a result, frequent communication has to be set up between processors to exchange data to ensure that correct boundary wavelet coefficients are computed. The significant communication overhead thus hampers the improvement of the efficiency of parallel systems, specially for processor networks with large... (Update)
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...extension based on the data it receives from the previous lifting step. Related work has also been independently performed in [50, 51] for different purposes. When working with lifting structures symmetric extension is not the only choice. In chapter 2 we described the...
...symmetric extension based on the data it receives from the previous lifting step. Related work has also been independently performed in [8, 9] for the purpose of having a parallel implementation of a lifting scheme in a two or more processors, and storing partially updated...
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BibTeX entry: (Update)
W. Jiang and A. Ortega. "Parallel Architecture for the Discrete Wavelet Transform based on the Lifting Factorization". In in Proc of SPIE in Parallel and Distributed Methods for Image Processing III, Denver, CO, July 1999. http://citeseer.ist.psu.edu/jiang99parallel.html More
@article{ jiang99parallel,
author = "J. Jiang",
title = "A Parallel Algorithm for $4 \times 4$ {DCT}",
journal = "Journal of Parallel and Distributed Computing",
volume = "57",
number = "2",
pages = "257--269",
year = "1999",
url = "citeseer.ist.psu.edu/jiang99parallel.html" }
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