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Image Super Resolution on the Basis of DWT and Bicubic Interpolation

by Gaurav Kumar, Kulbir Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 15
Year of Publication: 2013
Authors: Gaurav Kumar, Kulbir Singh
10.5120/10999-6180

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 },
issue_date = { March 2013 },
volume = { 65 },
number = { 15 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number15/10999-6180/ },
doi = { 10.5120/10999-6180 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:18:53.995847+05:30
%A Gaurav Kumar
%A Kulbir Singh
%T Image Super Resolution on the Basis of DWT and Bicubic Interpolation
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 15
%P 12-17
%D 2013
%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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Index Terms

Computer Science
Information Sciences

Keywords

Discrete wavelet transform super- resolution

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