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Impulse Noise Detection and Filtering in Switching Median Filters

by Ashima Mittal, Akash Tayal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 13
Year of Publication: 2012
Authors: Ashima Mittal, Akash Tayal
10.5120/6844-9567

Ashima Mittal, Akash Tayal . Impulse Noise Detection and Filtering in Switching Median Filters. International Journal of Computer Applications. 45, 13 ( May 2012), 40-45. DOI=10.5120/6844-9567

@article{ 10.5120/6844-9567,
author = { Ashima Mittal, Akash Tayal },
title = { Impulse Noise Detection and Filtering in Switching Median Filters },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 13 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 40-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number13/6844-9567/ },
doi = { 10.5120/6844-9567 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:37:34.054566+05:30
%A Ashima Mittal
%A Akash Tayal
%T Impulse Noise Detection and Filtering in Switching Median Filters
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 13
%P 40-45
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The switching median filter has proved to be quite effective in removing impulse noise. Noise detection plays a significant role in filtering. The proposed algorithm consists of two iterations for detecting noisy pixels. An exhaustive list of simulation results for various types of images shows that the peak signal to noise ratio of the proposed algorithm is high compared to the existing algorithms.

References
  1. I. Pitas and A. N. Venetsanopoulos, "Order statistics in digital image processing," Proc. IEEE, vol. 80, no. 12, pp. 1893–1921, Dec. 1992.
  2. D. R. K. Brownrigg, "The weighted median filter," Commun. ACM, vol. 27, no. 8, pp. 807–818, Aug. 1984.
  3. S. -J. Ko and Y. H. Lee, "Center weighted median filters and their applications to image enhancement," IEEE Trans. Circuits Syst. , vol. 38, no. 9, pp. 984–993, Sep. 1991.
  4. H. -L. Eng and K. -K. Ma, "Noise adaptive soft-switching median filter," IEEE Trans. Image Process. , vol. 10, no. 2, pp. 242–251, Feb. 2001.
  5. G. Pok, J. -C. Liu, and A. S. Nair, "Selective removal of impulse noise based on homogeneity level information," IEEE Trans. Image Processing, vol. 12, no. 1, pp. 85–92, Jan. 2003.
  6. Z. Wang and D. Zhang, "Progressive switching median filter for the removal of impulse noise from highly corrupted images," IEEE Trans. CircuitsSyst. II, vol. 46, no. 1, pp. 78–80, Jan. 1999.
  7. S. Zhang and M. A. Karim, "A new impulse detector for switching median filters," IEEE Signal Process. Lett, vol. 9, no. 4, pp. 360–363, Nov. 2002.
  8. P. -E. Ng and K. -K. Ma, "A switching median filter with boundary discriminative noise detection for extremely corrupted images," IEEE Trans. Image Process. , vol. 15, no. 6, pp. 1506–1516, Jun. 2006.
  9. Wenbin Luo,"An Efficient Detail-Preserving Approach for Removing Impulse Noise in Images" IEEE Signal Process. Lett, vol. 13, no. 7, July 2006.
  10. Fei Duan and Yu-Jin Zhang, "A Highly Effective Impulse Noise Detection Algorithm for Switching Median Filters" IEEE Signal Process. Lett, vol. 17, no. 7, July 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Impulse Noise Peak Signal To Noise Ratio Switching Median Filter

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