Design of optimal quincunx filter banks for image coding via sequential quadratic programming

被引：0

作者：

Chen, Yi ^{[1
]}

Adams, Michael D. ^{[1
]}

Lu, Wu-Sheng ^{[1
]}

机构：

[1] Univ Victoria, Dept Elect & Comp Engn, Victoria, BC, Canada

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PTS 1-3, PROCEEDINGS | 2007年

基金：

加拿大自然科学与工程研究理事会;

关键词：

multidimensional signal processing; optimization methods; wavelet transforms; image coding;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Sequential quadratic programming is used to design high-performance quincunx filter banks for image coding, where the resulting filter banks have perfect reconstruction, linear phase, high coding gain, good frequency selectivity, and certain prescribed vanishing-moment properties. Design examples are presented and compared to various previously proposed filter banks. The new filter banks are shown to be highly effective for image coding, outperforming previously proposed quincunx filter banks in most cases, and outperforming the well-known 9/7 filter bank in some limited cases.

引用

页码：897 / +

页数：2