High performance hardware implementation architecture for DWT of lifting scheme

被引:0
|
作者
Hao, Yanling [1 ]
Liu, Ying [1 ]
Wang, Renlong [1 ]
机构
[1] Harbin Engn Univ, Coll Automat, Harbin 15001, Peoples R China
关键词
D O I
10.1109/IIH-MSP.2008.56
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
On the problem that the hardware overhead of hardware implementation architecture for discrete wavelet transform wastes a lot, on the basis of flipping structure, we propose a high performance hardware implementation architecture. The architecture merges the lifting step and adopts the pipelined design to adjust the primitive data path. The proposed 2-D DWT architecture consists of four parts: column filter module, 2 x 2 transposing module, row filter module and scaling module. The column filter and row filter process simultaneously. The 2 x 2 transposing module makes it true that several registers substitute a lot of intermediate transposing memory. The architecture introduces 4 to 1 multiplexer into scaling module. Experimental results show that the proposed architecture, under the tight critical path, can efficiently reduce the hardware overhead and save the hardware power.
引用
收藏
页码:1255 / 1258
页数:4
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