Subband coding of images using eigen designed quadrature mirror filters

Author

Franques, V.T. ; Jain, V.K.

Author_Institution

Dept. of Electr. Eng., Univ. of South Florida, Tampa, FL, USA

Volume

2

fYear

1996

fDate

12-15 May 1996

Firstpage

145

Abstract

This paper presents a multi-resolution image coding method for achieving high levels of compression. The multi-resolution subband decomposition system used is implemented with our “eigen designed quadrature-mirror filters”. Symmetric extension and windowing of the multi-scale subbands are incorporated to minimize the boundary effects. The Embedded Zerotree Wavelet (EZW) coding algorithm is then used for data compaction. Elimination of the isolated zero symbol for certain subbands, in fact, leads to an improved EZW algorithm. Additional compression is obtained with an adaptive arithmetic coder. For the Lena image we achieve a PSNR of 25.7 dB at a bit rate of 0.026, 31.1 dB at a bit rate of 0.137, and 38.7 dB at 0.89 bits/pixel

Keywords

data compression; image coding; quadrature mirror filters; wavelet transforms; adaptive arithmetic coder; data compaction; eigen designed QMF; embedded zerotree wavelet coding algorithm; high level compression; multi-resolution image coding method; multiresolution subband decomposition system; quadrature mirror filters; subband coding; windowing; Arithmetic; Bit rate; Compaction; Filter bank; Finite impulse response filter; Image coding; Low pass filters; Mirrors; Multiresolution analysis; Signal synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-3073-0

Type

conf

DOI

10.1109/ISCAS.1996.540373

Filename

540373