Quantization effect on VLSI implementations for the 9/7 DWT filters

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...

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Bibliographic Details
Main Authors: Spiliotopoulos, V., Zervas, N.D., Andreopoulos, Y., Anagnostopoulos, G., Goutis, C.E.
Format: Conference Proceeding
Language:English
Subjects:
Collaborative software
Convolution
Discrete wavelet transforms
Filtering
Filters
Hardware
PSNR
Quantization
Very large scale integration
Video compression
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Summary: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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2001.941138