Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA

被引：0

作者：

van der Laan, Wladimir J. ^{[1
]}

Roerdink, Jos B. T. M. ^{[1
]}

Jalba, Andrei C. ^{[2
]}

机构：

[1] Univ Groningen, Inst Math & Comp Sci, Groningen, Netherlands

[2] Eindhoven Univ Technol, Dept Math & Comp Sci, NL-5600 MB Eindhoven, Netherlands

来源：

2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009) | 2009年

基金：

美国国家科学基金会;

关键词：

CODEC;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：614 / +

页数：2

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