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