Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA

Authors :: Laan, Wladimir J. van der
Roerdink, Jos B.T.M.
Jalba, Andrei C.
Zinterhof, P
Loncaric, S
Uhl, A
Carini, A
Scientific Visualization and Computer Graphics
Intelligent Systems
Source :: 2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009), 614-619, STARTPAGE=614;ENDPAGE=619;TITLE=2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009)
Publication Year :: 2009
Publisher :: IEEE (The Institute of Electrical and Electronics Engineers), 2009.
Abstract: 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.

Subjects :: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Data_CODINGANDINFORMATIONTHEORY
CODEC

Language :: English
Database :: OpenAIRE
Journal :: 2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009), 614-619, STARTPAGE=614;ENDPAGE=619;TITLE=2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009)
Accession number :: edsair.narcis........2dbfe65c4a3e70a97203e6ea415aa188

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