Volume & Issue no: Volume 3, Issue 4, July - August 2014
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Title: |
Comparative Performance Analysis of a High Speed 2-D Discrete Wavelet Transform Using Three Different Architectures |
Author Name: |
Harshitha S, Gopalakrishna K |
Abstract: |
Abstract: The discrete wavelet transform is used
extensively in many applications, such as computer vision,
pattern recognition, sub band coding, speech analysis etc.
because of its capability of decomposing a signal at multiple
resolution levels. It is also used in the field of image
processing for texture discrimination, fractal analysis, and
image compression. This 2-D DWT requires massive
computations and hence there is a need for use of efficient
architectures for the implementation of 2-D DWT. This paper
focuses on comparing the performance of three types of
architectures that is intended to compute the discrete wavelet
transform of a 2-D signal at a faster rate. Here we present a
comparative study of the computation time for a high speed 2-
D discrete wavelet transform implementation using three
different architectures: single-processor architecture, parallelprocessor
architecture and pipeline architecture.
Keywords: Discrete wavelet transform, discrete cosine
transform, fractal analysis, texture discrimination. |
Cite this article: |
Harshitha S, Gopalakrishna K , "
Comparative Performance Analysis of a High Speed 2-D Discrete Wavelet Transform Using Three Different Architectures" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 3, Issue 4, July - August 2014 , pp.
114-117 , ISSN 2278-6856.
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