International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 180 - Number 31 |
Year of Publication: 2018 |
Authors: Xiaohui Guo |
10.5120/ijca2018916813 |
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
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.