Abstract
The image compression algorithm based on EZW can get any compression ratio as specified, which is widely used in the field of image processing. However, with massive computation during wavelet transformation and multiple scans of the transformed wavelet coefficient matrix during encoding processing, much time is consumed. Therefore, both the parallelism of wavelet transformation and zerotree encoding for EZW are necessary, and then we present PEZW-ID: an algorithm for distributed parallel embedded zerotree wavelet encoder. This paper describes the flow of the algorithm, proves the validity, and shows the performance analysis. Finally, with the experimental results under MPP, the parallelism and scalability of the algorithm have been verified. © Springer-Verlag Berlin Heidelberg 2004.
Cite
CITATION STYLE
Chang, Z. M., Jiang, Y. H., Yang, X. J., & Qu, X. L. (2004). PEZW-ID: An algorithm for distributed parallel embedded zerotree wavelet encoder. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3358, 1024–1029. https://doi.org/10.1007/978-3-540-30566-8_116
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