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Accelerating wavelet-based video coding on graphics hardware using CUDA

W.J. van der Laan, J.B.T.M. Roerdink, A.C. Jalba
2009 2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis  

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The Discrete Wavelet Transform (DWT) has a wide range of applications from signal processing to video and image compression. This transform, by means of the lifting scheme, can be performed in a memory and computation efficient way on modern, programmable GPUs, which can be regarded as massively parallel co-processors through NVidia's CUDA compute paradigm. The method is scalable and the fastest GPU implementation among the methods considered. We have integrated our DWT into the Dirac Wavelet
more » ... deo Codec (DWVC), of which the overlapped block motion compensation compensation and frame arithmetic have been accelerated using CUDA as well.
doi:10.1109/ispa.2009.5297658 fatcat:fb2fu2g5efcvhdfbsw35nulize
Citation

W.J. van der Laan, J.B.T.M. Roerdink, A.C. Jalba. "Accelerating wavelet-based video coding on graphics hardware using CUDA." 2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis (2009)