Efficient VLSI architecture for multi-dimensional discrete wavelet transform

Cheng-Yi Xiong; Jin-Wen Tian; Jian Liu

doi:10.1117/12.652414

3 November 2005 Efficient VLSI architecture for multi-dimensional discrete wavelet transform

Cheng-Yi Xiong, Jin-Wen Tian, Jian Liu

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60430C (2005) https://doi.org/10.1117/12.652414
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

Efficient VLSI architectures for multi-dimensional (m-D) discrete wavelet transform (DWT), e.g. m=2, 3, are presented, in which the lifting scheme of DWT is used to reduce efficiently hardware complexity. The parallelism of 2m subbands transforms in lifting-based m-D DWT is explored, which increases efficiently the throughput rate of separable m-D DWT. The proposed architecture is composed of m2m-1 1-D DWT modules working in parallel and pipelined, which is designed to process 2m input samples per clock cycle, and generate 2m subbands coefficients synchronously. The total time of computing one level of decomposition for a 2-D image (3-D image sequence) of size N2 (MN2) is approximately N2/4 (MN2/8) intra- clock cycles (ccs). An efficient line-based architecture framework for both 2D+t and t+2D 3-D DWT is first proposed. Compared with the similar works reported in previous literature, the proposed architecture has good performance in terms of production of computation time and hardware cost. The proposed architecture is simple, regular, scalable and well suited for VLSI implementation.

Citation Download Citation

Cheng-Yi Xiong, Jin-Wen Tian, and Jian Liu "Efficient VLSI architecture for multi-dimensional discrete wavelet transform", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430C (3 November 2005); https://doi.org/10.1117/12.652414

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KEYWORDS

Discrete wavelet transforms

Wavelets

Clocks

Transform theory

Very large scale integration

3D image processing

Linear filtering

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