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Reseach Article

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

by Xiaohui Guo
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

@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 = { Apr 2018 },
volume = { 180 },
number = { 31 },
month = { Apr },
year = { 2018 },
issn = { 0975-8887 },
pages = { 26-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number31/29244-2018916813/ },
doi = { 10.5120/ijca2018916813 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:02:23.137182+05:30
%A Xiaohui Guo
%T An Efficient Method for Removal of High-Density Salt-and-Pepper Noise
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 31
%P 26-29
%D 2018
%I Foundation of Computer Science (FCS), NY, 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
  1. Chen, Pei-Yin, and Chih-Yuan Lien. "An efficient edge-preserving algorithm for removal of salt-and-pepper noise." IEEE Signal Processing Letters 15 (2008): 833-836.
  2. Nodes, Thomas, and Neal Gallagher. "Median filters: Some modifications and their properties." IEEE Transactions on Acoustics, Speech, and Signal Processing 30.5 (1982): 739-746.
  3. Wang, Yi, et al. "An Efficient Adaptive Fuzzy Switching Weighted Mean Filter for Salt-and-Pepper Noise Removal." IEEE Signal Processing Letters 23.11 (2016): 1582-1586.
  4. Toh, Kenny Kal Vin, and Nor Ashidi Mat Isa. "Noise adaptive fuzzy switching median filter for salt-and-pepper noise reduction." IEEE signal processing letters 17.3 (2010): 281-284.
  5. Zong-wei, Lyu, et al. "One Efficient and Fast Method for the Removal of High-Density Salt and Pepper Noise [J]." Acta Electronica Sinica 8 (2011): 032.
  6. Zhang, L. I., et al. "Mean-based fast median filter." JOURNAL-TSINGHUA UNIVERSITY 44.9 (2004): 1157-1159.
  7. Bao, Hua, et al. "Fast median filtering algorithm based on mean searching." Journal of Sichuan University: Engineering Science Edition (2011): 76-77.
Index Terms

Computer Science
Information Sciences

Keywords

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