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A Novel Approach for Reconstructing Super Resolution Video from Low Resolution Video

Published on April 2012 by N. Mages Meena, K. Thulasimani
International Conference in Recent trends in Computational Methods, Communication and Controls
Foundation of Computer Science USA
ICON3C - Number 4
April 2012
Authors: N. Mages Meena, K. Thulasimani
fd82c152-ca0c-46fa-87a5-c00724b67717

N. Mages Meena, K. Thulasimani . A Novel Approach for Reconstructing Super Resolution Video from Low Resolution Video. International Conference in Recent trends in Computational Methods, Communication and Controls. ICON3C, 4 (April 2012), 29-33.

@article{
author = { N. Mages Meena, K. Thulasimani },
title = { A Novel Approach for Reconstructing Super Resolution Video from Low Resolution Video },
journal = { International Conference in Recent trends in Computational Methods, Communication and Controls },
issue_date = { April 2012 },
volume = { ICON3C },
number = { 4 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 29-33 },
numpages = 5,
url = { /proceedings/icon3c/number4/6030-1031/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Recent trends in Computational Methods, Communication and Controls
%A N. Mages Meena
%A K. Thulasimani
%T A Novel Approach for Reconstructing Super Resolution Video from Low Resolution Video
%J International Conference in Recent trends in Computational Methods, Communication and Controls
%@ 0975-8887
%V ICON3C
%N 4
%P 29-33
%D 2012
%I International Journal of Computer Applications
Abstract

Super-resolution is the process of recovering a high-resolution image from multiple low-resolution images of the same scene. Also refers to techniques for overcoming the sampling limits and blurring effect of the digital image. This paper presents a spatiotemporal kernel regression technique for video super resolution, which is computationally efficient and simple in implementation. The objective of image restoration is to restore the visual information of a degraded image. It has wide applications in photographic deblurring, remote sensing, medical imaging, etc. Some web cam captures low resolution images due to low cost sensors or limitation of the hardware. So, the proposed resolution enhancement technique could be used as an inexpensive software alternative. The performance of the proposed algorithm is better when compared to other techniques.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Kernel Regression Gaussian Kernel Epanichinkov Kernel Enhancement