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An Enhanced Filtering Approach for High Density Salt and Pepper Noise to Restore Image with the Aid of Robust Estimator

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 50 - Number 23
Year of Publication: 2012
Authors:
Golam Moktader Daiyan
M. A. Mottalib
Muhammad Mizanur Rahman
10.5120/7958-0886

Golam Moktader Daiyan, M A Mottalib and Muhammad Mizanur Rahman. Article: An Enhanced Filtering Approach for High Density Salt and Pepper Noise to Restore Image with the Aid of Robust Estimator. International Journal of Computer Applications 50(23):1-6, July 2012. Full text available. BibTeX

@article{key:article,
	author = {Golam Moktader Daiyan and M. A. Mottalib and Muhammad Mizanur Rahman},
	title = {Article: An Enhanced Filtering Approach for High Density Salt and Pepper Noise to Restore Image with the Aid of Robust Estimator},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {50},
	number = {23},
	pages = {1-6},
	month = {July},
	note = {Full text available}
}

Abstract

A new adaptive switching-based median filtering scheme for restoration of images that are highly corrupted by salt and pepper noise is proposed. The function of the algorithm detects the corrupted pixels first since the salt and pepper noise only affect pixels value in the image. The probable value of the noise central pixel is predicted based on noise level. Initially the algorithm adopts adaptive property for expanding the filtering window pixel by pixel until 7×7 mask. But when all the elements in 7×7 window are noise pixels the algorithm define probable pixel value through noise free last processed pixel or creating a filtering window with a big dimension and search for a pixel value which is more frequent. Then Robust Estimator Algorithm is applied to the proposed filter to remove discontinuity of pixel intensity and smooth the image. The algorithm is mainly implemented focussing on the removal of high-density salt and pepper noise in images. Extensive simulation and visual quality of image shows that it can provide high quality restored images.

References

  • Z. Q Cai. , T. K. M. Lee, " Adaptive Switching Filters", Information, Communications and Signal Processing, 2009, 7th International Conference, p 1-4, 8-10 Dec. 2009.
  • I. Pitas and A. N. Venetsanopouslos, "Nonlinear Digital Filters: Principles and Applications,'' Norwell, M. A: Kluwer 1990.
  • R. C. Gonzalez and R. E. Woods, " Digital Image Processing", Addition Wesley Publication Company, 2002.
  • W. K. Pratt, " Digital Image Processing", New York Wiley, 1991.
  • J. Astola and Kuosmanen P. , "Fundamental of Nonlinear Digital Filtering", CRC Press, 1997.
  • T. S. Hung, G. J. Yang and G. Y. Tang " Fast Two Dimensional Median Filtering Algorithm", IEEE Transaction on Acoustics Speech and Signal Processing, Vol. 1PP13-18, 1979.
  • E. Srinivasan and D. Ebenzer , " New Nonlinear Filtering Strategies for Eliminating Short and Long Tailed Noise in Images with Edge Preservation Properties", International Journal of Signal Processing", Vol. 4. No. 3, 1984.
  • Fanzhi Kong, Wenbin Ma, "A Fast Adaptive Median Filtering Algorithm", 2nd International Conference on Industrial and Information Systems, IEEE 2010.
  • Kenny Kal Vin Toh and Nor Ashidi Mat Isa, 'Noise Adaptive Fuzzy Switching Median . . . IEEE Signal Processing Letters. Vol. 17, No. 3, pp. 281-284, March 2010.
  • Madhu S. Nair, K. Revathy, and Rao Tatavarti. , "Removal of Salt-and Pepper Noise in Images: A New Decision-Based Algorithm", Proceedings of the International Multi Conference of Engineers and Computer Scientists 2008 Vol I IMECS 2008, 19-21 March, 2008, Hong Kong.
  • Tamer Rabie, "Robust Estimation Approach for Blind Denoising", IEEE Trans. Image Processing, vol. 14, no. 11, pp. 1755-1765, 2005.
  • V. R. Vijakumar, P. T. Vanathi, and D. Kanagasabapathy, "Robust Statistics Based Algorithm to Remove Salt and Pepper Noise in Image", International Journal of Information and Communication Engineering 5:3, 2009.