An Improved Fuzzy-based Image Filtering for High Density Salt and Pepper Noise

Authors

  • Yin Mon Swe
  • Nang Aye Aye Htwe

Keywords:

salt and pepper, fuzzy based switching filter, heavy noise density, fuzzy membership function and fuzzy rules

Abstract

The proposed system presents a fuzzy switching filter to remove high density salt and pepper noise in an image. This system combined the ability of modified median filter, the proposed fuzzy median filter and the proposed fuzzy mean filter. At first, target pixel in a (3x3) kernel is checked whether it is noise pixel (0 or 255) or not. If there isn’t noise, the noise checking process shifts to the next kernel. If there is noise pixel (0 or 255), the number of noise within a kernel is counted. If the noise count is less than or equal to four which is less noise density, the modified median filter is used to remove noise. If the noise count is greater than four and less than or equal to six, the proposed fuzzy median filter is applied. If the noise count is larger than six which is high noise density, the proposed fuzzy mean filter is used to remove noise. By switching these three filters depending on the noise count within a kernel, the propose system can remove high density salt and pepper noise without distorting the edge and fine details in an image. At the experimental results, the proposed system can give better performance in removing high noise density. Furthermore, the denoising performance of the proposed filters will also be presented by calculating the Peak Signal to Noise Ratio (PSNR) values.

References

Kenny Kal Vin Toh, Nor Ashidi Mat Isa, “Noise Adaptive Fuzzy Switching Median Filter for Salt- and-Pepper Noise Reduction‖, IEEE SIGNAL PROCESSING LETTERS, VOL. 17, NO. 3, MARCH 2010.

Kh. Manglem Singh, ―Fuzzy Rule based Median Filter for Gray-scale Images‖, Journal of Information Hiding and Multimedia Signal Processing, Volume 2, Number 2, April 2011.

Roli Bansal, Priti Sehgal, and Punam Bedi,”A Simple Fuzzy Filter for Impulse Noise Removal using Thresholding”, Proceedings of the World Congress on Engineering and Computer Science (WCECS), Vol 2, pp 24-26, October, 2007.

Mohammad Imrul Jubair, Imtiaz Masud Ziko and Syed Ashfaqueuddin, “An Improved Adaptive Filtering Technique to Remove High Density Salt-and-Pepper Noise Using Multiple Last Processed Pixels”, Global Journal of Computer Science and Technology Graphics and Vision, Vol. 12, Issue 14, pp 104-111, 2012.

S. Esakkirajan, T. Veerakumar, A. N.Subramanyam and C. H. PremChand, Removal of High Density Salt and Pepper Noise Through Modified Decision Based UnsymmetricTrimmed Median Filter, IEEE SignalProcessing Letters, Vol.18, No.5, pp.287-290, 2011.

T. Veerakumar, S. Esakkirajan and I. Vennila,”Combined Fuzzy Logic and Unsymmetric Trimmed Median FilterApproach for the Removal of High Density Impulse Noise”, WSEAS TRANSACTIONS on SIGNAL PROCESSING, Issue 1, Vol. 8, pp 32-42, January 2012.

Bhavana Deshpande and H.K. Verma, Prachi Deshpande, “Fuzzy Based Median Filtering for Removal ofSalt-and-Pepper Noise”, International Journal of Soft Computing and Engineering (IJSCE), Vol. 2, Issue 3, pp 76-81, July 2012.

K. S. Srinivasan and D. Ebenezer, A new fastand efficient recursive fuzzy filter forremoval of high density impulse noises, IEEESignal Processing Letters, Vol.14, No.3, 2007,pp.189–192.

Shyam Lal, Sanjeev Kumar and Mahesh Chandra,”Removal of High Density Salt & Pepper Noise Through Super Mean Filter for Natural Images”, International Journal of Computer Science Issues (IJCSI), Vol. 9, Issue 3, No 3, pp 303-309, May 2012.

Sukomal Mehta1 and Sanjeev Dhull,”Fuzzy Based Median Filter for Gray Scale Image”, International Journal ofEngineering Science&Advanced Technology (IJESAT), Vol. 2, Issue 4, pp 975 – 980, August 2012.

M. González-Hidalgo, S. Massanet and D. Ruiz-Aguilera1,”High density impulse noise removal using fuzzymathematical morphology”, 8th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Vol. 2, pp 728-735, July 2013.

G.Sudhavani, G.Madhuri and P.Venkateswara Rao,”Additive Noise Removal for Color Image using Fuzzy Filter”, International Journal of Computer Science, Engineering and Applications (IJCSEA) Vol.3, No.3, pp 45-51, June 2013.

Sukhwinder Singh and Dr. Neelam Rup Prakash,”Modified Adaptive Median Filter forSalt & Pepper Noise”, International Journal of Advanced Research in Computer and Communication EngineeringVol. 3, Issue 1, pp 5067-5072, January 2014.

Zayed M. Ramadan, “Salt-and-Pepper Noise Removal and Detail PreservationUsing Convolution Kernels and Pixel Neighborhood”, American Journal of Signal Processing, Vol. 4, Issue 1, pp-16-23, 2014.

Yin Mon Swe and Nang Aye Aye Htwe, “A New Fuzzy Based Filter for High Density Salt and Pepper Noises”,International Conference on Science and Engineering, 2014.

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Published

2015-10-08

How to Cite

Swe, Y. M., & Htwe, N. A. A. (2015). An Improved Fuzzy-based Image Filtering for High Density Salt and Pepper Noise. International Journal of Computer (IJC), 18(1), 23–37. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/456

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