UM
Image compression based on energy clustering and zero-quadtree representation
Zhong J.M.; Leung C.H.; Tang Y.Y.
2000-12-01
Source PublicationIEE Proceedings: Vision, Image and Signal Processing
ISSN1350245X
Volume147Issue:6Pages:564-570
AbstractAn efficient image compression algorithm based on energy clustering and zero-quadtree representation (ECZQR) in the wavelet transform domain is proposed. In embedded coding, zeros within each subband are encoded in the framework of quadtree representation instead of zerotree representation. To use large rectangular blocks to represent zeros, it first uses morphological dilation to extract the arbitrarily shaped clusters of significant coefficients within each subband. The proposed encoding method results in less distortion in the decoded image than the line-by-line encoding method. Experimental results show that the algorithm is among the most efficient wavelet image compression algorithms.
DOI10.1049/ip-vis:20000752
URLView the original
Language英語
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Cited Times [WOS]:7   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
AffiliationThe University of Hong Kong
Recommended Citation
GB/T 7714
Zhong J.M.,Leung C.H.,Tang Y.Y.. Image compression based on energy clustering and zero-quadtree representation[J]. IEE Proceedings: Vision, Image and Signal Processing,2000,147(6):564-570.
APA Zhong J.M.,Leung C.H.,&Tang Y.Y..(2000).Image compression based on energy clustering and zero-quadtree representation.IEE Proceedings: Vision, Image and Signal Processing,147(6),564-570.
MLA Zhong J.M.,et al."Image compression based on energy clustering and zero-quadtree representation".IEE Proceedings: Vision, Image and Signal Processing 147.6(2000):564-570.
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