NDLI: Block-based two-dimensional wavelet transform running on graphics processing unit

Content Provider	IET Digital Library
Author	Song, Changhe Li, Yunsong Guo, Jie Lei, Jie
Abstract	This study explores the use of the graphics processing units (GPUs) for performing the two-dimensional discrete wavelet transform (DWT) of images. The study of fast wavelet transforms has been driven both by the enormous volumes of data produced by modern cameras and by the need for real-time processing of these data. With the emergence of general computing on GPUs, many time-consuming applications have started to reap the associated benefits. In the implementation of a GPU-based DWT, two approaches are used according to the published works, which are the row–column (RC) approach and the block-based (BB) approach. Most state-of-the-art techniques are based on the RC approach, which utilises the parallelism between different rows and columns; few works are based on the BB approach, which explores the parallelism between different blocks of the image. Although easy to implement, resource usage of the RC approach is usually related to the image size. Another shortcoming of the RC approach lies in the fact, according to the author's analysis, that more global memory access is required. The authors thus select the BB approach in this study. Experiment results show that the proposed BB approach outperforms the RC approach, being 99× faster than a native CPU implementation for 4096 × 4096 images.
Starting Page	229
Ending Page	236
Page Count	8
ISSN	17518601
Volume Number	8
e-ISSN	1751861X
Issue Number	Issue 5, Sep (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cdt/8/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cdt.2013.0141
Journal	IET Computers & Digital Techniques
Publisher Date	2014-07-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	BB Approach Block Based Approach Block Based Two Dimensional Wavelet Transform Computer Vision And Image Processing Technique Data Volumes Discrete Wavelet Transform DWT Global Memory Access GPU Graphics Processing Unit Graphics Processing Units Image Processing Integral Transforms Microprocessor Chips Microprocessors And Microcomputer Optical, Image And Video Signal Processing RC Approach Real Time System Real-time Processing Row Column Approach Time Consuming Application Two Dimensional Discrete Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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