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Stream-based parallel computation for discrete wavelet transform by using graphics hardware

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1 Author(s)
Su Yang ; Sch. of Commun. & Inf. Eng., Xi''an Univ. of Sci. & Technol., Xi''an, China

The discrete wavelet transform (DWT) has been widely used in various scientific and engineering fields. However, the enormous computation of DWT caused by multilevel filtering/down-sampling is a bottleneck that limits the application of DWT used in real-time environment where the data size is large. A stream-based parallel computation framework to accelerate the implementation of DWT is presented in this paper, which is based on employing the consumer-level programmable graphics hardware. Simulation results show that, this stream-based parallel computation framework can achieve a significant performance gain on algorithm acceleration comparing with those completely CPU-based solutions for DWT.

Published in:

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on

Date of Conference:

27-29 May 2011