UM
Improved Zerotree Wavelet image coder based on significance checking in wavelet trees
Zhong J.M.; Leung C.H.; Tang Y.Y.
1998-12-01
Source PublicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume5
Pages4567-4571
AbstractThe Embedded Zerotree Wavelet (EZW) image compression algorithm has been widely used in real applications for its high compression performance. In this paper an improvement of EZW is presented. In the original EZW algorithm, when a new significant coefficient is generated, its children are all encoded, although its descendants maybe all insignificant, and thus its performance is affected. The improvement proposed in this paper is based on significance checking in wavelet trees (SCIWT). It is aimed to avoid encoding the children of significant descendant. Experiments show that this proposed algorithm not only outperforms the original EZW over a wide range of compression ratios, but also retains all its key features without introducing any sophisticated and computationally complex method.
URLView the original
Language英語
Fulltext Access
Document TypeConference paper
CollectionUniversity of Macau
AffiliationThe University of Hong Kong
Recommended Citation
GB/T 7714
Zhong J.M.,Leung C.H.,Tang Y.Y.. Improved Zerotree Wavelet image coder based on significance checking in wavelet trees[C],1998:4567-4571.
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