Embedded lossy image compression based on wavelet transform

Author

Pardo, Marta Beltrán ; Van der Reijden, Christian Tenllado

Author_Institution

ESCET, Univ. Rey Juan Carlos, Madrid, Spain

fYear

2002

fDate

2002

Firstpage

195

Lastpage

199

Abstract

This paper describes an algorithm for embedded lossy image compression based on the discrete wavelet transform (DWT) and the zerotree coding scheme (EZW). In this algorithm there are two lossy stages, a rounding operation after the transform and a truncation of the coding output. A comparative study of different filter banks (from different wavelet families and with different filter lengths) for the wavelet transform and different image scans for the encoding is presented. We show their impact in realistic image compression results for our algorithm, specially in compression ratio and reconstruction error.

Keywords

channel bank filters; data compression; discrete wavelet transforms; image coding; image reconstruction; realistic images; tree data structures; DWT; EZW; coding output truncation; compression ratio; discrete wavelet transform; embedded lossy image compression; filter banks; filter lengths; image scans; realistic image compression; reconstruction error; rounding operation; wavelet families; zerotree coding; Computer errors; Discrete transforms; Discrete wavelet transforms; Embedded computing; Filter bank; Image coding; Image reconstruction; Low pass filters; Multiresolution analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Video/Image Processing and Multimedia Communications 4th EURASIP-IEEE Region 8 International Symposium on VIPromCom

Print_ISBN

953-7044-01-7

Type

conf

DOI

10.1109/VIPROM.2002.1026654

Filename

1026654