| 基于最优因果化提升结构及子带叠混的低内存DWT实现 |
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| 引用本文： | 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,2011,33(5):156-160,174. |
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| 作者姓名： | 李京旭 张雄明 |
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| 作者单位： | 1. 中国人民解放军66081部队,河北张家口075000;国防科技大学计算机学院,湖南长沙410073
2. 中国人民解放军61195部队,北京100091;国防科技大学ATR重点实验室,湖南长沙410073 |
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| 基金项目： | 国家自然科学基金资助项目(60473080,60573103) |
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| 摘 要： | 基于提升结构的因果化实现及优化在将两带滤波器组转化为单进单出系统时子带系数的叠混模式,提出了一种改进的低内存需求的离散小波变换(Enhanced Low-memory Discrete Wavelet Transform,ELDWT)实现方法.相对于DWT的常规全局实现法,基于ELDWT实现的正、逆离散小波变换均具有与...
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| 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 |
| 收稿时间： | 3/8/2011 12:00:00 AM |
Low-memory Discrete Wavelet Transform with Optimization of Causal Lifting Scheme and Subband Interleaving |
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| LI Jingxu and ZHANG Xiongming.Low-memory Discrete Wavelet Transform with Optimization of Causal Lifting Scheme and Subband Interleaving[J].Journal of National University of Defense Technology,2011,33(5):156-160,174. |
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| Authors: | LI Jingxu and ZHANG Xiongming |
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| Institution: | LI Jing-xu1,2,ZHANG Xiong-ming3,4(1.The Chinese People's Liberation Army 66081 Troops,Zhangjiakou 075000,China,2.College of Computer,National Univ.of Defense Technology,Changsha 410073,3.The Chinese People's Liberation Army 61195 Troops,Beijing 100091,4.National Key Laboratory of ATR,China) |
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| 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/rec... |
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| Keywords: | discrete wavelet transform causal lifting scheme low memory optimal subband interleaving |
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