DocumentCode :
2933387
Title :
An efficient image coding using multiple subbands integer wavelet decomposition
Author :
Zhang, Li-bao ; Yu, Xian-Chuan
Author_Institution :
Beijing Normal Univ., Beijing
fYear :
2007
fDate :
Nov. 28 2007-Dec. 1 2007
Firstpage :
408
Lastpage :
411
Abstract :
Integer wavelet transform (IWT) and IWT-based image coding offer many advantages over traditional wavelet. But coefficient magnitudes of the IWT-image have smaller dynamic change value and worse energy compaction than the first generation wavelet. Those reduce efficiency of IWT-based coding. In this paper, we present a new still image coder based on multiple subbands decomposition and IWT (integer wavelet transform). These high frequency subbands with the higher entropy can be decomposed secondly. Experimental results show that the lossy performance of the new coder is quite competitive with other efficient lossy compression methods.
Keywords :
image coding; wavelet transforms; entropy; image coding; integer wavelet decomposition; lossy compression; multiple subbands; Computational complexity; Discrete transforms; Discrete wavelet transforms; Entropy; Filter bank; Frequency; Image coding; Performance loss; Signal processing algorithms; Wavelet transforms; Image compression; entropy threshold choosing; integer wavelet transform; subband decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-1447-5
Electronic_ISBN :
978-1-4244-1447-5
Type :
conf
DOI :
10.1109/ISPACS.2007.4445910
Filename :
4445910
Link To Document :
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