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
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