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Artificial Neural Networks for Single-Image Super-Resolution

by Gagandeep Singh, Gulshan Goyal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 16
Year of Publication: 2015
Authors: Gagandeep Singh, Gulshan Goyal
10.5120/21786-5075

Gagandeep Singh, Gulshan Goyal . Artificial Neural Networks for Single-Image Super-Resolution. International Journal of Computer Applications. 122, 16 ( July 2015), 23-27. DOI=10.5120/21786-5075

@article{ 10.5120/21786-5075,
author = { Gagandeep Singh, Gulshan Goyal },
title = { Artificial Neural Networks for Single-Image Super-Resolution },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 16 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 23-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number16/21786-5075/ },
doi = { 10.5120/21786-5075 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:10:44.660134+05:30
%A Gagandeep Singh
%A Gulshan Goyal
%T Artificial Neural Networks for Single-Image Super-Resolution
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 16
%P 23-27
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image upscaling is an important field of digital image processing. It is often required to create higher resolution images from the lower resolution images at hand in computer graphics, media devices, satellite imagery etc. Upscaling is also referred to as 'single image super-resolution'. The process is a tradeoff between efficiency, time and the quality of output images obtained . In present paper, a feed forward neural network using supervised training for image upscaling is proposed. The performance of neural network is compared to bicubic interpolation method in terms of PSNR and MSE.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Upscaling Neural Network ANN Super-Resolution Interpolation Resolution Bicubic Feed-Forward.

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