Paper Info
Title
An improved zerotree wavelet image coder based on significance checking in wavelet trees
Abstract
The 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 each newly generated significant coefficient if it has no significant descendant. Experiments show that this proposed algorithm not only outperforms the original EZW over a wide range of compression ratios, but also completely retains all its key features without introducing any sophisticated and computationally complex method
Year
DOI
Venue
1998
10.1109/ICSMC.1998.727571
SMC
Keywords
DocType
Volume
data compression,image coding,trees (mathematics),wavelet transforms,embedded zerotree wavelet,image coder,image compression,significance checking,wavelet trees,zerotree wavelet,frequency,compression ratio
Conference
5
ISSN
ISBN
Citations 
1062-922X
0-7803-4778-1
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Zhong, J.M.100.68
Leung, C.H.200.34
Y. Y. Tang3416165.12