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A Modified Context based Image Interpolation Algorithm for Digital Images

by Sandeepa K. S., B. N. Jagadale, J. S. Bhat
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 171 - Number 2
Year of Publication: 2017
Authors: Sandeepa K. S., B. N. Jagadale, J. S. Bhat
10.5120/ijca2017914990

Sandeepa K. S., B. N. Jagadale, J. S. Bhat . A Modified Context based Image Interpolation Algorithm for Digital Images. International Journal of Computer Applications. 171, 2 ( Aug 2017), 34-37. DOI=10.5120/ijca2017914990

@article{ 10.5120/ijca2017914990,
author = { Sandeepa K. S., B. N. Jagadale, J. S. Bhat },
title = { A Modified Context based Image Interpolation Algorithm for Digital Images },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2017 },
volume = { 171 },
number = { 2 },
month = { Aug },
year = { 2017 },
issn = { 0975-8887 },
pages = { 34-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume171/number2/28157-2017914990/ },
doi = { 10.5120/ijca2017914990 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:18:24.857786+05:30
%A Sandeepa K. S.
%A B. N. Jagadale
%A J. S. Bhat
%T A Modified Context based Image Interpolation Algorithm for Digital Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 171
%N 2
%P 34-37
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A modified context based interpolation algorithm, for digital images, is presented. In the proposed algorithm, the unknown pixel value is exploited based upon the characteristic of a neighboring pixel by considering its edge. The edge is obtained by taking differences of two slopes calculated from neighboring pixels, which are in orthogonal direction. The algorithm uses fourth ordered prediction based approach when interpolating new pixel value by giving suitable weights to the neighboring pixels. This method gives better results as compared to some of existing interpolation methods. Comparison has done using Peak Signal to Noise Ratio (PSNR) and Correlation Coefficient method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Prediction coefficient interpolation low resolution image neighboring pixels slope identification weight estimator.

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