|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 103 - Issue 15 |
| Published: October 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 },
year = { 2014 },
volume = { 103 },
number = { 15 },
pages = { 9-13 },
doi = { 10.5120/18149-9399 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Gogireddy Sneha
%A T.Ramakrishnaiah
%T A DWT-SWT based Image Super Resolution with Multi Surface Fitting%T
%J International Journal of Computer Applications
%V 103
%N 15
%P 9-13
%R 10.5120/18149-9399
%I Foundation of Computer Science (FCS), NY, USA
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.