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
Link To Document :
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