DocumentCode :
1749826
Title :
Quantization effect on VLSI implementations for the 9/7 DWT filters
Author :
Spiliotopoulos, Vassilis ; Zervas, N.D. ; Andreopoulos, Yiannis ; Anagnostopoulos, G. ; Goutis, Costas E.
Author_Institution :
Dept. of ECE, Patras Univ., Greece
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1197
Abstract :
Two basic approaches for implementing the 9/7 filtering unit, used in the discrete wavelet transform, are addressed. The first is the lifting scheme approach and the second is the conventional, convolutional filter approach. Two architectures are examined for each approach, a simple straightforward one and an optimized one, substituting the multipliers used for scaling with shift-add operations. The quantization of the constants used in the calculations is thoroughly explored and the selection of the data-path bit-width is addressed. Experimental results based on hardware implementation, for several quantizations and for the different hardware architectures of the 9/7 filtering units are given
Keywords :
FIR filters; VLSI; data compression; discrete wavelet transforms; filtering theory; quantisation (signal); video coding; 9/7 DWT filters; 9/7 discrete wavelet transform filters; 9/7 filtering unit; JPEG2000 standard; VLSI implementations; arithmetic complexity; convolutional filter approach; lifting scheme approach; quantization effect; shift-add operations; Collaborative software; Convolution; Discrete wavelet transforms; Filtering; Filters; Hardware; PSNR; Quantization; Very large scale integration; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.941138
Filename :
941138
Link To Document :
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