International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 180 - Issue 31 |
Published: Apr 2018 |
Authors: Xiaohui Guo |
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Xiaohui Guo . An Efficient Method for Removal of High-Density Salt-and-Pepper Noise. International Journal of Computer Applications. 180, 31 (Apr 2018), 26-29. DOI=10.5120/ijca2018916813
@article{ 10.5120/ijca2018916813, author = { Xiaohui Guo }, title = { An Efficient Method for Removal of High-Density Salt-and-Pepper Noise }, journal = { International Journal of Computer Applications }, year = { 2018 }, volume = { 180 }, number = { 31 }, pages = { 26-29 }, doi = { 10.5120/ijca2018916813 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2018 %A Xiaohui Guo %T An Efficient Method for Removal of High-Density Salt-and-Pepper Noise%T %J International Journal of Computer Applications %V 180 %N 31 %P 26-29 %R 10.5120/ijca2018916813 %I Foundation of Computer Science (FCS), NY, USA
In this paper, a novel algorithm for removing high-density salt-and-pepper noise from corrupted images is presented. Initially, salt-and-pepper pixels are identified in the detection stage. Then, the median value of non salt-and-pepper pixels is calculated, and the non salt-and-pepper pixels revolve around the current salt-and-pepper pixel in the window. The median value is the new grayscale values of the current salt-and-pepper pixel and it is calculated using the mean value. Simulation results indicate that the proposed method can remove high-density salt-and-pepper noise well and reserve image details, edges and textures best.