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Reseach Article

An Efficient Lifting based 3-D Discrete Wavelet Transform

Published on None 2011 by S.Sivaiah, C.Venkataiah
2nd National Conference on Computing, Communication and Sensor Network
Foundation of Computer Science USA
CCSN - Number 1
None 2011
Authors: S.Sivaiah, C.Venkataiah
c8272d65-4574-48bb-a087-fc73d0c6a0d5

S.Sivaiah, C.Venkataiah . An Efficient Lifting based 3-D Discrete Wavelet Transform. 2nd National Conference on Computing, Communication and Sensor Network. CCSN, 1 (None 2011), 25-29.

@article{
author = { S.Sivaiah, C.Venkataiah },
title = { An Efficient Lifting based 3-D Discrete Wavelet Transform },
journal = { 2nd National Conference on Computing, Communication and Sensor Network },
issue_date = { None 2011 },
volume = { CCSN },
number = { 1 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 25-29 },
numpages = 5,
url = { /specialissues/ccsn/number1/4168-ccsn006/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 2nd National Conference on Computing, Communication and Sensor Network
%A S.Sivaiah
%A C.Venkataiah
%T An Efficient Lifting based 3-D Discrete Wavelet Transform
%J 2nd National Conference on Computing, Communication and Sensor Network
%@ 0975-8887
%V CCSN
%N 1
%P 25-29
%D 2011
%I International Journal of Computer Applications
Abstract

The digital data can be transformed using Discrete Wavelet Transform (DWT). The Discrete Wavelet Transform (DWT) was based on time-scale representation, which provides efficient multi-resolution. The lifting based scheme (9, 7) (Here 9 Low Pass filter coefficients and the 7 High Pass filter coefficients) filter give lossy mode of information. The lifting based DWT are lower computational complexity and reduced memory requirements. Since Conventional convolution based DWT is area and power hungry which can be overcome by using the lifting based scheme.The discrete wavelet transform (DWT) is being increasingly used for image coding. This is due to the fact that DWT supports features like progressive image transmission (by quality, by resolution), ease of transformed image manipulation, region of interest coding, etc. DWT has traditionally been implemented by convolution. Such an implementation demands both a large number of computations and a large storage features that are not desirable for either high-speed or low-power applications. Recently, a lifting-based scheme that often requires far fewer computations has been proposed for the DWT.

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Index Terms

Computer Science
Information Sciences

Keywords

Lifting based scheme Filter Co-efficient Multi Resolution Analysis (MRA)