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Representation of Multi Resolution Image using Multi Wavelet Transform with Combined 2-D and 1-D Directional Filter Banks

by M. Kamaraju, T. Krishna Sagar, K. Ramanjanyelu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 2
Year of Publication: 2014
Authors: M. Kamaraju, T. Krishna Sagar, K. Ramanjanyelu
10.5120/14956-3123

M. Kamaraju, T. Krishna Sagar, K. Ramanjanyelu . Representation of Multi Resolution Image using Multi Wavelet Transform with Combined 2-D and 1-D Directional Filter Banks. International Journal of Computer Applications. 86, 2 ( January 2014), 8-12. DOI=10.5120/14956-3123

@article{ 10.5120/14956-3123,
author = { M. Kamaraju, T. Krishna Sagar, K. Ramanjanyelu },
title = { Representation of Multi Resolution Image using Multi Wavelet Transform with Combined 2-D and 1-D Directional Filter Banks },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 2 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number2/14956-3123/ },
doi = { 10.5120/14956-3123 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:03:09.635643+05:30
%A M. Kamaraju
%A T. Krishna Sagar
%A K. Ramanjanyelu
%T Representation of Multi Resolution Image using Multi Wavelet Transform with Combined 2-D and 1-D Directional Filter Banks
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 2
%P 8-12
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multiresolution analysis is a design method for most of the practically relavant discrete wavelet transform. Multiresolution approaches provide a powerful tool for image processing. Combined 2-D and 1-D directional filter banks are used for the visual quality improvement and have higher PSNR than the predictable separable wavelet transform. Multiresolution image that makes image look good on all screen resolution. Multiresoution keeps each screen pixel filled with at least one image pixel, upto maximum resolution of the image. Here in addition being proposed multi wavelet transform that exploits the multiresolution image and can efficiently represent the sharp edges of the image. The development in this paper draws the results regarding the multi wavelets appear to excel at preserving high frequency content. In particular, multi wavelets better capture the sharp edges and geometric patterns that occur in images.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Directional filter banks 2-D filter banks multi wavelet transform.

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