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Journal of Electronic Imaging

Wavelet packet transform basis selection method for set partitioning in hierarchical trees
Author(s): Ashraf Ali Bin Mohamed Kassim; Yan Niu; Dornoosh Zonoobi
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Paper Abstract

The dyadic wavelet-based set partitioning in hierarchical trees (SPIHT) is highly efficient in coding nontextured images while the wavelet packet transform (WPT) is able to provide an optimal representation for textured images. However, incorporating the WPT with SPIHT to improve the performance of SPIHT is not as straightforward as it would seem. Although previous solutions generally adapt the zero-tree structure to the WPT, we introduce a method for selecting an optimal WPT basis for SPIHT, which efficiently compacts the high-frequency subband energy into as few trees as possible and avoids parental conflicts. The proposed SPIHT-WPT coder achieves improved coding gains, especially for highly textured images. Furthermore, the selected WPT is compatible with the region-of-interest and error resilient SPIHT coding schemes.

Paper Details

Date Published: 1 July 2008
PDF: 9 pages
J. Electron. Imaging. 17(3) 033007 doi: 10.1117/1.2952851
Published in: Journal of Electronic Imaging Volume 17, Issue 3
Show Author Affiliations
Ashraf Ali Bin Mohamed Kassim, National Univ. of Singapore (Singapore)
Yan Niu, National Univ. of Singapore (Singapore)
Dornoosh Zonoobi, National Univ. of Singapore (Singapore)


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