DocumentCode
2155691
Title
Quantizing the 9/7 Daubechies filter coefficients for 2D DWT VLSI implementations
Author
Spiliotopoulos, Vassilis ; Zervas, N.D. ; Androulidakis, C.E. ; Anagnostopoulos, G. ; Theoharis, S.
Author_Institution
Alma Technol. S.A, Attika, Greece
Volume
1
fYear
2002
fDate
2002
Firstpage
227
Abstract
In this paper, 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 convolutional filter approach. both used in the JPEG2000 standard. Two architectures are examined for each approach, a simple straightforward one and an improved 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
VLSI; code standards; convolution; data compression; digital filters; discrete wavelet transforms; image coding; quantisation (signal); 2D DWT; 9/7 Daubechies filter coefficients; 9/7 filtering units; JPEG2000 standard; VLSI; architectures; convolutional filter; discrete wavelet transform; lifting scheme; quantization; shift add operations; Convolution; Discrete wavelet transforms; Filtering; Filters; Hardware; PSNR; Quantization; Transform coding; Very large scale integration; Video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN
0-7803-7503-3
Type
conf
DOI
10.1109/ICDSP.2002.1027876
Filename
1027876
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