摘要
基于常用的双正交对称DWT滤波器组的紧支撑性给出了一种适于基于PCT(Parent-Children Tree)的图像编码的低内存DWT实现方法—Stripe-Based DWT(SBWT).该方法生成与全局DWT相同的子带系数,且内存需求仅依赖于图像宽度、DWT滤波器组及分解层数.SBWT直接生成PCT,基于PCT的图像编码器与SBWT之间无需中间缓存.当采用CDF 9/7小波及5层分解时,相对于LBWT及Memory-constrained WT,SBWT的系统时延减小了31行,内存需求分别减小了18.4%与17.9%.
Based on the compact support property of popular DWT filters, a low-memory implementation of DWT called the Stripe-Based DWT( SBWT)is proposed, which produces the same subband coefficients as the global implementation of DWT. Additionally, the production of subband coefficients Iends itself to PCT-based image coders in that no intermediate buffeting is needed between the SBWT and the coders.When coupled with PCT-based image codec's and 5-level decomposition with the CDF 9/7 filter bank,the overall memory reductions are 18.4% and 17.9% compared with the line-based DWT (LBWT) and the memoryconstrained WT, respectively.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2008年第6期1218-1221,共4页
Acta Electronica Sinica
基金
国家自然科学基金(No.6057,3027)
国家高技术研究发展计划(863计划)(No.2007AA801305)
武器装备预研基金(No.9140C800301070C80)
关键词
局部小波变换
低内存实现
父子树编码
local wavelet transform
low memory implementation
parent-children tree