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Dual Tree Complex Wavelet Transform (DTCWT) based Adaptive Interpolation Technique for Enhancement of Image Resolution

by Mayuri Patil, Shivkumar Singh Tomar, Setu K. Chaturvedi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Number 14
Year of Publication: 2013
Authors: Mayuri Patil, Shivkumar Singh Tomar, Setu K. Chaturvedi
10.5120/13933-1957

Mayuri Patil, Shivkumar Singh Tomar, Setu K. Chaturvedi . Dual Tree Complex Wavelet Transform (DTCWT) based Adaptive Interpolation Technique for Enhancement of Image Resolution. International Journal of Computer Applications. 80, 14 ( October 2013), 37-42. DOI=10.5120/13933-1957

@article{ 10.5120/13933-1957,
author = { Mayuri Patil, Shivkumar Singh Tomar, Setu K. Chaturvedi },
title = { Dual Tree Complex Wavelet Transform (DTCWT) based Adaptive Interpolation Technique for Enhancement of Image Resolution },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 80 },
number = { 14 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 37-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume80/number14/13933-1957/ },
doi = { 10.5120/13933-1957 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:54:35.389260+05:30
%A Mayuri Patil
%A Shivkumar Singh Tomar
%A Setu K. Chaturvedi
%T Dual Tree Complex Wavelet Transform (DTCWT) based Adaptive Interpolation Technique for Enhancement of Image Resolution
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 14
%P 37-42
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image resolution enhancement is one of the first steps in image processing. Enhancement of image with respect to spatial coordinates of the image, basically improves interpretability and perception of an image. Adaptive interpolation along with dual tree complex wavelet transform results in better quality superresoved images. Greater directional selectivity and phase information properties of redundant CWT implies superresolved image from original low resolution image. While improving the resolution of an image high frequency components are required to preserve other than enlarging the image. In this paper, dual tree complex wavelet transform (DTCWT) based superresolved imaging system along with non iterative orientation interpolation process is proposed. Image quality measuring factors such as PSNR value, RSNI approximation proves that efficiency of images obtained by proposed method is better than state of the art system of resolution enhancement.

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Index Terms

Computer Science
Information Sciences

Keywords

DTCWT PSNR RSNI

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