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Super Resolution Reconstruction in Mixed Noise Environment
by
A.geetha Devi,
T.madhu,
K.lal Kishore
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 121 - Number 12 |
| Year of Publication: 2015 |
| Authors: A.geetha Devi, T.madhu, K.lal Kishore |
10.5120/21594-4689
|
A.geetha Devi, T.madhu, K.lal Kishore . Super Resolution Reconstruction in Mixed Noise Environment. International Journal of Computer Applications. 121, 12 ( July 2015), 33-41. DOI=10.5120/21594-4689
@article{
10.5120/21594-4689,
author = {
A.geetha Devi,
T.madhu,
K.lal Kishore
},
title = { Super Resolution Reconstruction in Mixed Noise Environment },
journal = {
International Journal of Computer Applications
},
issue_date = { July 2015 },
volume = { 121 },
number = { 12 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = {
33-41
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume121/number12/21594-4689/
},
doi = { 10.5120/21594-4689 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:08:15.569404+05:30
%A A.geetha Devi
%A T.madhu
%A K.lal Kishore
%T Super Resolution Reconstruction in Mixed Noise Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 12
%P 33-41
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract
A hybrid Super Resolution (SR) algorithm is proposed to deal with the Low Resolution (LR) images degraded by Mixed (Gaussian + Impulse) noise. The algorithm adaptively estimates and removes the impulse noise from the input LR images based on edge, geometrical & size characteristics. The fuzzy based impulse noise removal algorithm is along with adaptive sharpening filter based SR using steering kernel regression are used to obtain a HR image. The experimental results confirm the efficacy of the algorithm for different types of images at various noise densities.
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