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Reseach Article

A DWT-SWT based Image Super Resolution with Multi Surface Fitting

by Gogireddy Sneha, T.ramakrishnaiah
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 15
Year of Publication: 2014
Authors: Gogireddy Sneha, T.ramakrishnaiah
10.5120/18149-9399

Gogireddy Sneha, T.ramakrishnaiah . A DWT-SWT based Image Super Resolution with Multi Surface Fitting. International Journal of Computer Applications. 103, 15 ( October 2014), 9-13. DOI=10.5120/18149-9399

@article{ 10.5120/18149-9399,
author = { Gogireddy Sneha, T.ramakrishnaiah },
title = { A DWT-SWT based Image Super Resolution with Multi Surface Fitting },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 15 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number15/18149-9399/ },
doi = { 10.5120/18149-9399 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:34:37.720649+05:30
%A Gogireddy Sneha
%A T.ramakrishnaiah
%T A DWT-SWT based Image Super Resolution with Multi Surface Fitting
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 15
%P 9-13
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, an image super-resolution technique is proposed which is based on interpolation of high frequency sub-band images obtained by Discrete Wavelet Transform on input image. In those sub-bands edges are enhanced by introducing an intermediate stage by using Stationary Wavelet Transform. The wavelet transform is applied in order to decompose image into different sub-bands. In those sub-bands, the high frequency sub-bands are interpolated and then these estimated high frequency sub-bands are modified by using high frequency sub-bands obtained through SWT. These all sub-bands are fused to generate a new high resolution by using inverse Wavelet transform techniques. The proposed results depict the conventional and state of art image resolution enhancement techniques.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image super resolution Discrete and stationary wavelet transform.