Parallel Implementation of the Discrete Wavelet Transform on Graphics Processing Units

被引：0

作者：

Khemiri, Randa ^{[1
]}

Sayadi, Fatma ^{[1
]}

Saidani, Taoufik ^{[1
]}

Chouchene, Marwa ^{[1
]}

Bahri, Haythem ^{[1
]}

Tourki, Rached ^{[1
]}

机构：

[1] Univ Monastir, Lab Elect & Microelect, Fac Sci Monastir, Monastir, Tunisia

来源：

2014 1ST INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP 2014) | 2014年

关键词：

JPEG2000; Discrete Wavelet Transform (DWT); Graphics processing unit (GPU); Parallel computing; Central processing unit (CPU); MatLab; IMAGE COMPRESSION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Discrete wavelet transform (DWT), has diverse applications in signal and image processing fields. In this paper, we have implemented the lifting "Le Gall 5/3" algorithm on a low cost NVIDIA's GPU (Graphics processing unit) with Mat Lab to achieve speedup in computation. The efficiency of our GPU based implementation is measured and compared with CPU based algorithms. Our investigational results with GPU show performance enhancement over a factor of 1.52 compared with CPU for an image of size 3072x3072.

引用

页码：111 / 114

页数：4

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