版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Concordia Univ Dept Elect & Comp Engn Ctr Signal Proc & Commun Montreal PQ H3G 1M8 Canada
出 版 物:《ELECTRONICS LETTERS》 (电子学快报)
年 卷 期:1999年第35卷第18期
页 面:1530-1532页
核心收录:
学科分类:0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学]
主 题:wavelet transforms halfband low-pass filter Integral transforms Image and video coding data compression design image coding LMS complementary filter binomial polynomial symmetric biorthogonal wavelet filter Filters and other networks image compression low-pass filters least mean squares methods
摘 要:A technique for designing new symmetric biorthogonal wavelets from a given symmetric regular filter is presented. The main idea is to find a symmetric complementary filter of a given regular filter such that it has the least mean square (LMS) amplitude deviation from the ideal halfband lowpass filter. New biorthogonal wavelet filter pairs can be obtained via factoring the product of the complementary polynomial and the given binomial. By pplying these new symmetric biorthogonal wavelet filters to the compression of some complicated images an improved result in reducing artefacts may be achieved.