国防科技大学学报2011，Vol.35Issue(5)：156-160,174,6.
基于最优因果化提升结构及子带叠混的低内存DWT实现
Low-memory Discrete Wavelet Transform with Optimization of Causal Lifting Scheme and Subband Interleaving
摘要
Abstract
Based on the optimization of causal implementation for the lifting schemes and the interleaving mode for sub-band coefficients, this research presents an enhanced low-memory implementation of discrete wavelet transform called the ELDWT (Enhanced Low-Memory Discrete Wavelet Transform). In comparison with the conventional global implementation of DWT, the ELDWT has the advantages that its memory budget is independent of the image height and different DWT filter banks cad be utilized in different decomposition/reconstruction levels. When the difference between the filters' lengths is greater than two, the ELDWT has lower memory requirement and less system latency than those of the line-based DWT ( LBWT). When a 5-level decomposition with the MPEG Default 9/3 filter bank is adopted, the overall memory is reduced by 22.7% in comparison with the LBWT.关键词
离散小波变换/因果化提升结构/低内存/最优子带叠混Key words
discrete wavelet transform/ causal lifting scheme/ low memory/ optimal subband interleaving分类
信息技术与安全科学引用本文复制引用
李京旭,张雄明..基于最优因果化提升结构及子带叠混的低内存DWT实现[J].国防科技大学学报,2011,35(5):156-160,174,6.基金项目
国家自然科学基金资助项目(60473080,60573103) （60473080,60573103）
