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Modeling of Uncertainties using Fuzzy Interval for Enhancement of Images Corrupted by Impulse Noise

by Rashmi Kumari, S.k.aggarwal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 4
Year of Publication: 2012
Authors: Rashmi Kumari, S.k.aggarwal
10.5120/7176-9824

Rashmi Kumari, S.k.aggarwal . Modeling of Uncertainties using Fuzzy Interval for Enhancement of Images Corrupted by Impulse Noise. International Journal of Computer Applications. 47, 4 ( June 2012), 22-24. DOI=10.5120/7176-9824

@article{ 10.5120/7176-9824,
author = { Rashmi Kumari, S.k.aggarwal },
title = { Modeling of Uncertainties using Fuzzy Interval for Enhancement of Images Corrupted by Impulse Noise },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 4 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 22-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number4/7176-9824/ },
doi = { 10.5120/7176-9824 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:00.773351+05:30
%A Rashmi Kumari
%A S.k.aggarwal
%T Modeling of Uncertainties using Fuzzy Interval for Enhancement of Images Corrupted by Impulse Noise
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 4
%P 22-24
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Noise filtering is the fundamental pre-processing step for digital images. In this paper we present a novel method in which the uncertainties of fuzzy membership function is modeled to reduce and the concept of this reduced uncertainties is used to detect the impulse corrupted pixels of digital images. Taking an interval instead of using a crisp value of membership function deals better with the uncertainties arises due to noisy data, uncertain meaning of word etc. Impulse noise is detected by using Laplacian operator and blurred S-shaped fuzzy membership function is used for removal of impulse noise where for the restoration the half of sum of mean and median of the kernel is used . The performance is compared with other existing filters on the basis of PSNR values calculated for original and restored images.

References
  1. R. Gonzalez and R. Woods, 2008, Digital Image Processing, PHI II Edition.
  2. S-J. Ko and Y. H. Lee, Sept 1991,"Centre-weighted median filters and their applications to image enhancement" IEEE Trans. Circuits and Syst. , vol. 38, pp. 984-993.
  3. L. Alparone, S. Baronti and R. Carla, Feb. 1995, "Two Dimensional Rank Conditioned Median Filter ," IEEE Trans. On Circuits and systems – II : vol 42, No. 2.
  4. T. Sun and Y. Neuvo , Apr. 1994, "Detail preserving median based filters in image processing," Pattern Recognit. Lett. , vol. 15 , pp 341-347.
  5. T. Chen, K. K. Ma, L. H. Chen , Dec. 1999, "Tri-state median filter for image denoising," IEEE Trans. Image Processing, vol. 8, pp. 1834-1838.
  6. Zhang, S. Karim, M. A. , 2002, "A New Impulse Detector for Switching Median Filter", IEEE Signal Processing Lett. , vol. 9, pp. 360-363.
  7. F. Russo and G. Ramponi, June 1996, "A fuzzy filter for images corrupted by impulse noise ," IEEE Signal Process. Lett. Vol. 3, no. 6, pp. 168-170.
  8. F. Russo , Apr. 1999, "Fire operators for image processing," Fuzzy Sets Syst. , vol. 103, pp. 265-275.
  9. C. S. Lee, Y. H. Kuo, and P. T. Yu , Jul. 1997, "Weighted fuzzy mean filters for image processing," Fuzzy Sets Syst. , vol. 89, pp. 157-180.
  10. C. S. Lee, Y. H. Kuo,2000, "Adaptive fuzzy filter and its application to image enhancement," in Fuzzy techniques in Image Processing , I edition E. E. Kerre and M. Nachtegael , Eds. , Heidelberg, germany: Physica Verlag, vol. 52, pp. 172-193.
  11. S. Schulte, M. Nachtegael, V. D. Witte D. V. Weken, E. E. Kerre. ,May 2006, " A Fuzzy impulse noise detection and reduction method. ," IEEE Trans. On Image Processing.
  12. H. Xu, G. Zhu, H. Peng, D. Wang , April 2004, "Adaptive fuzzy switching filter for images corrupted by impulse noise ," Pattern Recognit. Lett. , vol. 25 , pp 1657-1663.
  13. J. C. Sheng Y. J. Runtao, 2000, "Fuzzy weighted average filter" In Proc. ICSP 2000, pp. 525-528.
  14. Mendel, J. M. , John, R. I. B. , April 2002, "Type-2 Fuzzy Sets Made Simple". IEEE Transactions on Fuzzy Systems,vol. 10, no. 2, pp. 117-27.
  15. Karnik, N. N. , Mendel, J. M. , 1998, "Introduction to Type-2 Fuzzy Logic Systems",IEEE World Congress on Computational Intelligence, vol. 2, p 915- 935.
  16. H. R. Tizhoosh, 2005, "Image Thresholding using Type- II Fuzzy Sets", Pattern Recognition vol. 38, pp 2363- 2372.
  17. M. T. Yildirim, A. Basturk, 2007, "A Detail Preserving Type-2 Fuzzy Logic Filter for Impulse Noise removal from Digital Images", Fuzzy Systems Conference, FUZZ-IEEE.
  18. J. M. Mendel, R. I. John, F. Liu, Dec. 2006, "Interval Type-II Fuzzy Logic Systems Made Simple", IEEE Transactions on Fuzzy Systems, vol. 14.
  19. Soon Ting Boo, H. Ibrahim, Kanny Kol Vin Toh, 2009, "An Improved Progressive Switching Median Filter", IEEE Intenational conference on future computer and communication, Malaysia.
  20. Rashmi Kumari, S. K. Aggarwal, March 2012, "Impulse Noise Removal Using Type-II Fuzzy Sets",Procc. of Information Systems & Computer Networks, pp. 23-26.
Index Terms

Computer Science
Information Sciences

Keywords

Type-2 Fuzzy Logic System Impulse Noise Removal Image Processing

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