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Low complexity reconfigurable architecture for the 5/3 and 9/7 discrete wavelet transform
作者姓名:Xiong Chengyi~    Tian Jinwen~ & Liu Jian~ . Coll. of Electronic Information Engineering  South Center Univ . for Nationalities  Wnhan  P.R. China  . Inst. of Pattern Recognition & Artificial Intelligence  Key Lab. of Education Ministry for Image Processing and Intelligent Control  Huazhong Univ. of Science & Technology  Wuhan  P.R. China
作者单位:Xiong Chengyi~ 1,2,Tian Jinwen~2 & Liu Jian~2 1. Coll. of Electronic Information Engineering,South Center Univ . for Nationalities,Wnhan 430074,P.R. China; 2. Inst. of Pattern Recognition & Artificial Intelligence,Key Lab. of Education Ministry for Image Processing and Intelligent Control,Huazhong Univ. of Science & Technology,Wuhan 430074,P.R. China
摘    要:1 .INTRODUCTIONThe discrete wavelet transform(DWT) is widely usedin many applications such as signal analysis and pro-cessing,as well asi mage compression,and adoptedtobecome an ingredient in many i mage compressionstandards ,such as JPEG2000 etc . This is because theDWTcan decompose the signals into different subba-nds with both ti me and frequency information and fa-cilitate to arrive a high compression ratio. Lifting-based wavelet1 ,2]is also called as the secondly genera-tion wave…

收稿时间:17 February 2005

Low complexity reconfigurable architecture for the 5/3 and 9/7 discrete wavelet transform
Xiong Chengyi ,,Tian Jinwen & Liu Jian . Coll. of Electronic Information Engineering,South Center Univ . for Nationalities,Wnhan ,P.R. China, . Inst. of Pattern Recognition & Artificial Intelligence,Key Lab. of Education Ministry for Image Processing and Intelligent Control,Huazhong Univ. of Science & Technology,Wuhan ,P.R. China.Low complexity reconfigurable architecture for the 5/3 and 9/7 discrete wavelet transform[J].Journal of Systems Engineering and Electronics,2006,17(2):303-308.
Authors:Xiong Chengyi  Tian Jinwen  Liu Jian
Institution:1. Coll. of Electronic Information Engineering, South Center Univ. for Nationalities, Wuhan 430074, P.R. China;Inst. of Pattern Recognition & Artificial Intelligence,Key Lab. of Education Ministry for Image Processing and Intelligent Control, Huazhong Univ. of Science & Technology,Wuhan,430074,P.R.China
2. Inst. of Pattern Recognition & Artificial Intelligence,Key Lab. of Education Ministry for Image Processing and Intelligent Control, Huazhong Univ. of Science & Technology, Wuhan 430074, P.R. China
Abstract:Efficient reconfigurable VLSI architecture for 1-D 5/3 and 9/7 wavelet transforms adopted in JPEG2000 proposal, based on lifting scheme is proposed. The embedded decimation technique based on fold and time multiplexing, as well as embedded boundary data extension technique, is adopted to optimize the design of the architecture. These reduce significantly the required numbers of the multipliers, adders and registers, as well as the amount of accessing external memory, and lead to decrease efficiently the hardware cost and power consumption of the design. The architecture is designed to generate an output per clock cycle, and the detailed component and the approximation of the input signal are available alternately. Experimental simulation and comparison results are presented, which demonstrate that the proposed architecture has lower hardware complexity, thus it is adapted for embedded applications. The presented architecture is simple, regular and scalable, and well suited for VLSI implementation.
Keywords:VLSI  discrete wavelet transform  lifting scheme  embedded decimation  reconfigurable
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