International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 121 - Issue 12 |
Published: July 2015 |
Authors: A.Geetha Devi, T.Madhu, K.Lal Kishore |
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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 }, year = { 2015 }, volume = { 121 }, number = { 12 }, pages = { 33-41 }, doi = { 10.5120/21594-4689 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A A.Geetha Devi %A T.Madhu %A K.Lal Kishore %T Super Resolution Reconstruction in Mixed Noise Environment%T %J International Journal of Computer Applications %V 121 %N 12 %P 33-41 %R 10.5120/21594-4689 %I Foundation of Computer Science (FCS), NY, USA
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.