International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 142 - Issue 7 |
Published: May 2016 |
Authors: Sukhwinder Singh, Amit Grover |
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Sukhwinder Singh, Amit Grover . Adaptive Image Quality Enhancement with Hybrid Pixel Enhancement Approach. International Journal of Computer Applications. 142, 7 (May 2016), 7-11. DOI=10.5120/ijca2016909858
@article{ 10.5120/ijca2016909858, author = { Sukhwinder Singh,Amit Grover }, title = { Adaptive Image Quality Enhancement with Hybrid Pixel Enhancement Approach }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 142 }, number = { 7 }, pages = { 7-11 }, doi = { 10.5120/ijca2016909858 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Sukhwinder Singh %A Amit Grover %T Adaptive Image Quality Enhancement with Hybrid Pixel Enhancement Approach%T %J International Journal of Computer Applications %V 142 %N 7 %P 7-11 %R 10.5120/ijca2016909858 %I Foundation of Computer Science (FCS), NY, USA
Restoration is procedure of recoupling a picture from corrupted state. The image enhancement and restoration requires the image matrix processing, which utilizes the noise removal and contrast enhancement. The image enhancement method in the proposed model usually utilize the color enhancement, histogram equalization, color illumination, neighbor based reference model, non-reference image matrix enhancement and co-variance based matrix enhancement. In this paper, the combination of the neighbor based reference model and non-reference image matrix enhancement is proposed for the enhancement of the results. The experimental results have been performed over the grayscale standard images of the Lena, Baboon, Barbara and Peppers.