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Proceedings Paper

High precision discrete wavelet transform based on moment and systolic implementation
Author(s): Zhenbing Liu; Jianguo Liu; Guoyou Wang
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Paper Abstract

Discrete wavelet transform (DWT) is an important tool in digital signal processing. In this paper, a new algorithm to compute DWT is proposed: first, based on the previous work of performing discrete Fourier transform (DFT) via linear sums of discrete moments, we introduce a multiplierless DFT by performing appropriate bit operations and shift operations in binary system; then by convolution theorem, the computation is transformed to the computation of DFT. In addition, a efficient systolic array is designed to implement the DWT which is a demonstration of the locality of dataflow in the algorithms. The approach is also applicable to multi-dimensional DWT.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749713 (30 October 2009); doi: 10.1117/12.832412
Show Author Affiliations
Zhenbing Liu, Huazhong Univ. of Science and Technology (China)
Jianguo Liu, Huazhong Univ. of Science and Technology (China)
Guoyou Wang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

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