Research Article

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

by  Gogireddy Sneha, T.Ramakrishnaiah
journal cover
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
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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
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
No index terms available.
Keywords

Image super resolution Discrete and stationary wavelet transform.

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