DocumentCode :
423822
Title :
Modified lifting algorithm and VLSI architecture for the 9/7 wavelet filters
Author :
Xiong, Chen-Gyi ; Gao, Zhi-Rong ; Tian, Jin-Wen ; Liu, Jian
Author_Institution :
Inst. of Pattern Recognition & Artificial Intelligence, Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
6
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
3826
Abstract :
A new parallel-based lifting algorithm (PBLA) for the 9/7 filters, exploring the parallelism of arithmetic operations in each lifting step, was proposed in this paper. It shortened significantly the critical path of computation, and resulted in a fast VLSI implementation architecture. In comparison with the conventional lifting algorithm based implementation (CLABI), the latency is reduced by more than half from (4Tm + 8Ta) to (Tm + 4Ta), which is competitive to that of convolution based implementation CBI, and can be further reduced to Tm by inserting 3 stages of pipeline. The experimental results demonstrate that the proposed architecture has good performances in both speed and area.
Keywords :
VLSI; filters; parallel architectures; wavelet transforms; VLSI; convolution based implementation; parallel-based lifting algorithm; wavelet filter; Arithmetic; Convolution; Delay; Discrete wavelet transforms; Filters; Hardware; Image coding; Parallel processing; Transform coding; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1380500
Filename :
1380500
Link To Document :
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