Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA

Wladimir J. van der Laan, Jos B.T.M. Roerdink, Andrei C. Jalba

OnderzoeksoutputAcademicpeer review

12 Citaten (Scopus)
300 Downloads (Pure)

Samenvatting

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 mid 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 GP U implementation among the methods considered. We have integrated our DWT into the Dirac Wavelet Video Codec (DWVC), of which the overlapped block motion compensation compensation and frame arithmetic have been accelerated using CUDA as well.

Originele taal-2English
Titel2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009)
RedacteurenP Zinterhof, S Loncaric, A Uhl, A Carini
Plaats van productieNEW YORK
UitgeverijIEEE (The Institute of Electrical and Electronics Engineers)
Pagina's614-619
Aantal pagina's6
ISBN van geprinte versie978-1-4244-5649-9
StatusPublished - 2009
Evenement6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009) - , Austria
Duur: 16-sep-200918-sep-2009

Other

Other6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009)
Land/RegioAustria
Periode16/09/200918/09/2009

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