Research Article
Image Super Resolution on the Basis of DWT and Bicubic Interpolation
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 65 - Issue 15 |
| Published: March 2013 |
| Authors: Gaurav Kumar, Kulbir Singh |
10.5120/10999-6180
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Gaurav Kumar, Kulbir Singh . Image Super Resolution on the Basis of DWT and Bicubic Interpolation. International Journal of Computer Applications. 65, 15 (March 2013), 12-17. DOI=10.5120/10999-6180
@article{ 10.5120/10999-6180,
author = { Gaurav Kumar,Kulbir Singh },
title = { Image Super Resolution on the Basis of DWT and Bicubic Interpolation },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 65 },
number = { 15 },
pages = { 12-17 },
doi = { 10.5120/10999-6180 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Gaurav Kumar
%A Kulbir Singh
%T Image Super Resolution on the Basis of DWT and Bicubic Interpolation%T
%J International Journal of Computer Applications
%V 65
%N 15
%P 12-17
%R 10.5120/10999-6180
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper describes a super-resolution technique based on interpolation of the high-frequency subband images obtained by discrete wavelet transform (DWT) and the input image. This technique uses DWT to decompose an image into different subband images. Then the high-frequency subband images and the low-resolution input image have been interpolated, followed by combining all these images to generate a new super-resolved image by using inverse discrete wavelet transform (IDWT). This super resolution technique has been tested on various images. The peak signal-to-noise ratio (PSNR) and visual results show the superiority of this technique over the conventional and state-of-art image resolution enhancement techniques.
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