CONSTRUCTION OF BIVARIATE NONSEPARABLE COMPACTLY SUPPORTED BIORTHOGONAL WAVELETS

摘要：

Bivariate wavelets have become powerful tool of image processing. We get a method for constructing bivariate nonscparablc compactly supported biorthogonal filters. These filters can generate bivariate nonscparablc compactly supported biorthogonal scaling functions and the related wavelets based on the theory of bivariate multircsolution analysis. Finally, we give two simple numerical examples of bivariate nonseparable compactly supported biorthogonal filters satisfying the perfect reconstruction condition.

关键词： Bivariate tnultiresolution analysis Bivariate nonseparable wavelets Low pass filter Highpass filter Biorthogonality

作者: JIN-SONG LENG TING-ZHU HUANG YING-DING FU

作者单位: Faculty of Applied Mathematics, University of Electronic Science and Technology of China Chengdu 610054, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 3625-3629

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）