Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

12 Citations (Scopus)
297 Downloads (Pure)

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.

Original languageEnglish
Title of host publication2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009)
EditorsP Zinterhof, S Loncaric, A Uhl, A Carini
Place of PublicationNEW YORK
PublisherIEEE (The Institute of Electrical and Electronics Engineers)
Pages614-619
Number of pages6
ISBN (Print)978-1-4244-5649-9
Publication statusPublished - 2009
Event6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009) - , Austria
Duration: 16-Sep-200918-Sep-2009

Other

Other6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009)
Country/TerritoryAustria
Period16/09/200918/09/2009

Keywords

  • CODEC

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