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Reseach Article

Removal of Salt and Pepper Noise through Modified PSM Filter

by Shivpratap Pandey, Md. Rashid Ansari, Rupali Kushwaha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 1
Year of Publication: 2013
Authors: Shivpratap Pandey, Md. Rashid Ansari, Rupali Kushwaha
10.5120/12853-9400

Shivpratap Pandey, Md. Rashid Ansari, Rupali Kushwaha . Removal of Salt and Pepper Noise through Modified PSM Filter. International Journal of Computer Applications. 74, 1 ( July 2013), 44-48. DOI=10.5120/12853-9400

@article{ 10.5120/12853-9400,
author = { Shivpratap Pandey, Md. Rashid Ansari, Rupali Kushwaha },
title = { Removal of Salt and Pepper Noise through Modified PSM Filter },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 1 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 44-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number1/12853-9400/ },
doi = { 10.5120/12853-9400 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:41:07.355620+05:30
%A Shivpratap Pandey
%A Md. Rashid Ansari
%A Rupali Kushwaha
%T Removal of Salt and Pepper Noise through Modified PSM Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 1
%P 44-48
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a new Modified Progressive Switching Median filtering algorithm is presented for the removal of salt and pepper noise from corrupted images. It sets a limit on the number of good pixel used in determine median and mean value and substitute to impulse pixel with the summation of its mean value and median value which is divide by 2. 02, after that pass through Gaussian filter. This scheme can remove salt and pepper noise with a noise level as high as 90%. Experimental result shows that the proposed filter is superior over the traditional filter in maintaining higher PSNR (Peak Signal to Noise Ratio).

References
  1. A. Bovik, Handbook of Image and Video Processing. New York: Academic, 2000.
  2. T. Sun and Y. Nuevo, "Detail preserving median based filters in image processing," Pattern Recognition. Lett, vol. 15, pp. 341–347, 1994.
  3. Zhou Wang and David Zhang, "Progressive switching median filter for the removal of impulse noise from highly corrupted images,"IEEE Trans. Circuits & Systems II: Analog & Digital Signal Processing, vol. 46, no. 1, pp. 78-80, Jan. 1999.
  4. J. Astola and P. Kuosmaneen, Fundamentals of Nonlinear Digital Filtering. Boca Raton, FL: CRC, 1997.
  5. Soon Ting Boo, Haidi Ibrahim, Member, IEEE and Kenny Kal Vin Toh, Student Member, IEEE, "An Improved Progressive Switching Median Filter", IEEE International Conference on Future Computer and Communication,2009
  6. R. C. Gonzalez and R. E. Wood, Digital Image Processing, Prentice-Hall, India, Second Edition 2007.
  7. A. K. Jain, Fundamentals of Digital Image Processing, Prentice Hall of India, 1989.
  8. Raymond H. Chan, Chung-Wa Ho, and Mila Nikolova, "Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail-Preserving Regularization," IEEE Trans. On Image Processing, vol. 14, no. 10, Oct. 2005
  9. K. K. V. Toh, H. Ibrahim, and M. N. Mahyuddin, "Salt-and-pepper noise detection and reduction using fuzzy switching median filter," IEEE Trans. Consumer Electron. , vol. 54, no. 4, pp. 1956–1961, Nov. 2008.
  10. S. K. Mitra and T. H. Yu. ,"Nonlinear Filters for Image Sharpening and Smoothing," In IEEE International Conference on Systems engineering, volume 4, pages 241 – 244, August 1991.
  11. S. Q. Zhang and M. A. Karim, "A new impulse detector for switching median filters," IEEE Signal Process. Lett, vol. 9, no. 11, pp. 360–363, Nov. 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Gaussian filter Impulse Noise IPSM MATLAB PSMF PSNR