Improving image compression performance with balanced multiwavelets

被引：4

作者：

Iyer, LR ^{[1
]}

Bell, AE ^{[1
]}

机构：

[1] Virginia Polytech Inst & State Univ, Dept Elect & Comp Engn, Blacksburg, VA 24061 USA

来源：

CONFERENCE RECORD OF THE THIRTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1 AND 2 | 2001年

关键词：

D O I：

10.1109/ACSSC.2001.987029

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：773 / 777

页数：5

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