International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 103 - Issue 15 |
Published: October 2014 |
Authors: Gogireddy Sneha, T.Ramakrishnaiah |
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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.