DocumentCode :
2647616
Title :
Binary tree image compression algorithm based on wavelet transform via lifting scheme
Author :
Wang, Cheng-You ; Hou, Zheng-Xin ; Yang, Ai-Ping
Author_Institution :
Tianjin Univ., Tianjin
Volume :
4
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
1528
Lastpage :
1533
Abstract :
In this paper, all phase interpolation filter banks were designed and binary tree wavelet coding algorithm was proposed based on the basic idea of lifting scheme and SPIHT algorithm. The encoding algorithms can be stopped at any compressed file size or let run until the compressed file is a representation of a nearly lossless image. The experiment results on test images show that compared with SPIHT algorithm, the PSNR of the proposed algorithm is superior at the same bit rates about 0.5 dB and the subjective quality of reconstructed images is better too.
Keywords :
data compression; image coding; wavelet transforms; binary tree image compression algorithm; interpolation filter banks; lifting scheme; set partitioning in hierarchical trees; wavelet transform; Algorithm design and analysis; Binary trees; Bit rate; Filter bank; Image coding; Image reconstruction; Interpolation; PSNR; Testing; Wavelet transforms; Set Partitioning in Hierarchical Trees (SPIHT); binary tree coding algorithm; image compression; lifting scheme; quincunx sampling; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
Type :
conf
DOI :
10.1109/ICWAPR.2007.4421693
Filename :
4421693
Link To Document :
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