Improving image compression performance with balanced multiwavelets

Author

Iyer, Lakshmi R. ; Bell, Amy E.

Author_Institution

Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA

Volume

1

fYear

2001

fDate

4-7 Nov. 2001

Firstpage

773

Abstract

The multiwavelet transform - unlike the scalar wavelet transform - allows orthogonality and symmetry to coexist. For lossy image compression, the balancing order of the multiwavelet filter bank dictates energy compaction. But balancing alone does not guarantee good compression performance. Filter bank characteristics such as shift-variance and magnitude response also influence peak signal-to-noise ratio (PSNR) and perceived image quality. In this paper we analyze the effect of these multiwavelet properties on image compression. Our results indicate the best multiwavelet image compression performance reported to date.

Keywords

channel bank filters; data compression; image coding; wavelet transforms; PSNR; balanced multiwavelets; balancing order; image compression performance; lossy image compression; magnitude response; multiwavelet filter bank; peak signal-to-noise ratio; perceived image quality; shift-variance; Equations; Filter bank; Image analysis; Image coding; Image quality; Interleaved codes; PSNR; Performance analysis; Transforms; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7147-X

Type

conf

DOI

10.1109/ACSSC.2001.987029

Filename

987029