Lagrange wavelets for signal processing

被引：12

作者：

Shi, Z ^{[1
]}

Wei, GW

Kouri, DJ

Hoffman, DK

Bao, Z

机构：

[1] Univ Houston, Dept Phys, Houston, TX 77204 USA

[2] Iowa State Univ, Dept Chem, Ames, IA 50011 USA

[3] Iowa State Univ, Ames Lab, Ames, IA 50011 USA

[4] Natl Key Lab Radar Signal Proc, Xian 710071, Peoples R China

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2001年 / 10卷 / 10期

基金：

中国国家自然科学基金; 美国国家科学基金会; 加拿大自然科学与工程研究理事会;

关键词：

distributed approximating functionals; generalized Lagrange wavelets; softer logic masking; visual group normalization;

D O I：

10.1109/83.951535

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper deals with the design of interpolating wavelets based on a variety of Lagrange functions, combined with novel signal processing techniques for digital imaging. Halfband Lagrange wavelets, B-spline Lagrange wavelets and Gaussian Lagrange [Lagrange distributed approximating functional (DAF)] wavelets are presented as specific examples of the generalized Lagrange wavelets. Our approach combines the perceptually dependent visual group normalization (VGN) technique and a softer logic masking (SLM) method. These are utilized to rescale the wavelet coefficients, remove perceptual redundancy and obtain good visual performance for digital image processing.

引用

页码：1488 / 1508

页数：21

共 49 条

[1] WAVELET CONSTRUCTION USING LAGRANGE HALFBAND FILTERS [J].