Image compression based on biorthogonal wavelet transform

Author

Liu, Hong ; Lin-pei Zhai ; Gao, Ying ; Li, Wen-Ming ; Zhou, Jiu-Fei

Author_Institution

Changchun Inst. of Opt., Chinese Acad. of Sci., Changchun, China

Volume

1

fYear

2005

fDate

12-14 Oct. 2005

Firstpage

598

Lastpage

601

Abstract

A method for image compression of biorthogonal wavelet transform based on lifting scheme with SPIHT (set partitioning in hierarchical trees) is proposed in this paper. Wavelet transform affords wide space for image coding algorithms because of its excellent space-frequency localization characterizations. The compact supported, symmetrical and biorthogonal wavelet has linear phase, so it is applied on image compression area widely. The lifting scheme is an efficient method for constructing the wavelet filter after multiresolution. Under the condition of biorthogonal, biorthogonal wavelet base can be constructed freely according to the wavelet performance. And it can quicken the implementation speed of the wavelet transform. Analyzing the algorithm of lifting scheme is applying for constructing biorthogonal wavelet. Experimental results indicate that the method of the biorthogonal wavelet that has good performances with SPIHT is applying for image compression, so as image synthesis performs well.

Keywords

data compression; image coding; image resolution; wavelet transforms; biorthogonal wavelet transform; hierarchical trees; image coding algorithms; image compression; image resolution; lifting scheme; set partitioning; space-frequency localization; wavelet filter; Algorithm design and analysis; Biomedical optical imaging; Fourier transforms; Image coding; Image generation; Optical filters; Partitioning algorithms; Physics; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on

Print_ISBN

0-7803-9538-7

Type

conf

DOI

10.1109/ISCIT.2005.1566926

Filename

1566926