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An Efficient Method for Removal of High-Density Salt-and-Pepper Noise

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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):26-29, April 2018. BibTeX

@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},
	issue_date = {April 2018},
	volume = {180},
	number = {31},
	month = {Apr},
	year = {2018},
	issn = {0975-8887},
	pages = {26-29},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume180/number31/29244-2018916813},
	doi = {10.5120/ijca2018916813},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

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.

References

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Keywords

salt-and-pepper noise, identify, median value, mean value.