摘要
设计了一种低功耗的二维离散小波变换(DWT)结构,用于无线传感器网络中的图像压缩。该结构实现了精简复杂性的(5,3)整数离散小波变换,采用流水线和延迟线技术,在获得高运算吞吐率的同时,使数据尽可能被处理单元高效利用,以减少对片内存储器和片外存储器的访问次数。多级二维DWT采用展开方法实现,这种方法可尽早开始下一级变换,不需要大的片内存储器和片内存取操作。模拟试验和FPGA实现验证了系统在满足需要性能的前提下具有低复杂性、低功耗、片内存储器小等优点。
This paper designs a low-power-consumption architecture of 2-D discrete wavelet transform （DWT） for image compression in the wireless sensor network. The architecture implements reduced complexity algorithm of DWT-（5, 3） integer DWT. It adopts pipeline and delay-line design technology to get high computation throughput and make data used by processing unit efficiently, reducing the number of on-chip and off-chip memory access. Multi-level DWT is implemented by unwinding, which makes the next level transforming start as early as it can without large in-chip memory and access operations. Simulation and FPGA implementation show the system satisfies the required performance, and it has the merits such as low complexity, low power consumption, small in-chip memory etc.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第23期228-229,236,共3页
Computer Engineering
基金
国家自然科学基金资助项目"传感器网络中图像传感节点及相关协议研究"(60475012)
关键词
离散小波变换
图像压缩
FPGA
discrete wavelet transform （DWT）
image compression
FPGA
