{"title":"An improved pyramid algorithm for synthesizing 2-D discrete wavelet transforms","authors":"Chu Yu, Sao-Jie Chen","doi":"10.1109/SIPS.1999.822312","DOIUrl":null,"url":null,"abstract":"The pyramid algorithm (PA) has been shown very suitable for computing 2-D forward and inverse discrete wavelet transforms (DWT). In this paper, we present a new 2-D synthesis PA to improve some defects encountered in the classical PA algorithm that usually requires large latency, long computation time, and big memory space. Unlike the PA algorithm which computes a 2-D IDWT level by level, our proposed algorithm performs a 2-D DWT in word size. Thus, for processing an N/spl times/N 2-D IDWT with m levels and L-tap filters, the proposed algorithm needs a latency of 3m+4, computes only in N/sup 2/ clock cycles, and spends 2NL+4(m-1) memory space.","PeriodicalId":275030,"journal":{"name":"1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461)","volume":" 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.1999.822312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The pyramid algorithm (PA) has been shown very suitable for computing 2-D forward and inverse discrete wavelet transforms (DWT). In this paper, we present a new 2-D synthesis PA to improve some defects encountered in the classical PA algorithm that usually requires large latency, long computation time, and big memory space. Unlike the PA algorithm which computes a 2-D IDWT level by level, our proposed algorithm performs a 2-D DWT in word size. Thus, for processing an N/spl times/N 2-D IDWT with m levels and L-tap filters, the proposed algorithm needs a latency of 3m+4, computes only in N/sup 2/ clock cycles, and spends 2NL+4(m-1) memory space.