Abstract | ||
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This paper presents a systematic high-speed VLSI implementation of the discrete wavelet transform (DWT) based on hardware-efficient parallel FIR filter structures. High-speed 2-D DWT with computation time as low as N 2/12 can be easily achieved for an NtimesN image with controlled increase of hardware cost. Compared with recently published 2-D DWT architectures with computation time of N 2/3 and 2N 2/3, the proposed designs can also save a large amount of multipliers and/or storage elements. It can also be used to implement those 2-D DWT traditionally suitable for lifting or flipping-based designs, such as (9,7) and (6,10) DWT. The throughput rate can be improved by a factor of 4 by the proposed approach, but the hardware cost increases by a factor of around 3. Furthermore, the proposed designs have very simple control signals, regular structures and 100% hardware utilization for continuous images. |
Year | DOI | Venue |
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2008 | 10.1109/TSP.2007.900754 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
systematic high-speed vlsi implementation,very-large-scale integration,fir filter,hardware cost,ntimesn image,very-large-scale integration (vlsi),hardware utilization,2-d dwt architecture,discrete wavelet transform,convolution,2-d discrete wavelet transform,high-speed vlsi,computation time,discrete wavelet transforms (dwts),2-d dwt,fir filters,vlsi,multipliers,high-speed vlsi implementation,linear convolution,cyclic convolution,discrete wavelet transforms,storage elements,hardware cost increase,proposed design,very large scale integration | Throughput (business),Digital filter,Control theory,Convolution,Circular convolution,Second-generation wavelet transform,Theoretical computer science,Computational science,Discrete wavelet transform,Finite impulse response,Very-large-scale integration,Mathematics | Journal |
Volume | Issue | ISSN |
56 | 1 | 1053-587X |
Citations | PageRank | References |
28 | 1.11 | 12 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
C. Cheng | 1 | 88 | 6.29 |
keshab k parhi | 2 | 3235 | 369.07 |