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2005 IEEE International Conference on Application-Specific Systems, Architecture Processors (ASAP'05)
Performance Comparison of SIMD Implementations of the Discrete Wavelet Transform
Samos, Greece
July 23-July 25
ISBN: 0-7695-2407-9
ASCII Text
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Asadollah Shahbahrami, Ben Juurlink, Stamatis Vassiliadis, "Performance Comparison of SIMD Implementations of the Discrete Wavelet Transform," Application-Specific Systems, Architectures and Processors, IEEE International Conference on, pp. 393-398, 2005 IEEE International Conference on Application-Specific Systems, Architecture Processors (ASAP'05), 2005.
 
 
BibTex
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@article{ 10.1109/ASAP.2005.51,
author = {Asadollah Shahbahrami and Ben Juurlink and Stamatis Vassiliadis},
title = {Performance Comparison of SIMD Implementations of the Discrete Wavelet Transform},
journal ={Application-Specific Systems, Architectures and Processors, IEEE International Conference on},
volume = {0},
year = {2005},
issn = {1063-6862},
pages = {393-398},
doi = {http://doi.ieeecomputersociety.org/10.1109/ASAP.2005.51},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Application-Specific Systems, Architectures and Processors, IEEE International Conference on
TI - Performance Comparison of SIMD Implementations of the Discrete Wavelet Transform
SN - 1063-6862
SP393
EP398
A1 - Asadollah Shahbahrami,
A1 - Ben Juurlink,
A1 - Stamatis Vassiliadis,
PY - 2005
KW - Discrete Wavelet Transform
KW - lifting scheme
KW - SIMD extensions.
VL - 0
JA - Application-Specific Systems, Architectures and Processors, IEEE International Conference on
ER -
 
Asadollah Shahbahrami, Computer Engineering Laboratory Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology, The Netherlands
Ben Juurlink, Computer Engineering Laboratory Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology, The Netherlands
Stamatis Vassiliadis, Computer Engineering Laboratory Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology, The Netherlands

This paper focuses on SIMD implementations of the 2D discrete wavelet transform (DWT). The transforms considered are Daubechies? real-to-real method of four coef ficients (Daub-4) and the integer-to-integer (5, 3) lifting scheme. Daub-4 is implemented using SSE and the lifting scheme using MMX, and their performance is compared to C implementations on a Pentium 4 processor. The MMX implementation of the lifting scheme is up to 4.0x faster than the corresponding C program for a 1-level 2D DWT, while the SSE implementation of Daub-4 is up to 2.6x faster than the C version. It is shown that for some image sizes, the performance is significantly hampered by the so-called 64K aliasing problem, which occurs in the Pentium 4 when two data blocks are accessed that are a multiple of 64K apart. It is also shown that for the (5, 3) lifting scheme, a 12-bit word size is sufficient for a 5-level decomposition of the 2D DWT for images of up to 10 bits per pixel.

Index Terms:
Discrete Wavelet Transform, lifting scheme, SIMD extensions.
Citation:
Asadollah Shahbahrami, Ben Juurlink, Stamatis Vassiliadis, "Performance Comparison of SIMD Implementations of the Discrete Wavelet Transform," asap, pp.393-398, 2005 IEEE International Conference on Application-Specific Systems, Architecture Processors (ASAP'05), 2005
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