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Asymmetric Trimmed Median Filter for Images Highly Corrupted with Random valued Impulse Noise

by R. Pushpavalli, G. Sivaradje
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 7
Year of Publication: 2012
Authors: R. Pushpavalli, G. Sivaradje
10.5120/6275-8438

R. Pushpavalli, G. Sivaradje . Asymmetric Trimmed Median Filter for Images Highly Corrupted with Random valued Impulse Noise. International Journal of Computer Applications. 44, 7 ( April 2012), 19-23. DOI=10.5120/6275-8438

@article{ 10.5120/6275-8438,
author = { R. Pushpavalli, G. Sivaradje },
title = { Asymmetric Trimmed Median Filter for Images Highly Corrupted with Random valued Impulse Noise },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 7 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number7/6275-8438/ },
doi = { 10.5120/6275-8438 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:25.324475+05:30
%A R. Pushpavalli
%A G. Sivaradje
%T Asymmetric Trimmed Median Filter for Images Highly Corrupted with Random valued Impulse Noise
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 7
%P 19-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Asymmetric Trimmed Median Filter for Image denoising is proposed in this paper. This technique can be used for restoring the images extremely corrupted with random valued impulse noise. This paper introduces an impulse detection technique and decision based median filter for restoring the corrupted images. The detection technique is used for discriminating between corrupted and uncorrupted image pixels. The corrupted pixels are restored using Asymmetric trimmed median filter. The performance of the proposed restoring scheme is evaluated with random valued impulse noise for different test images. Simulation results show that this method is significantly better than a number of existing techniques in terms of image restoration and noise detection.

References
  1. Pitas. I and Venetsanopou. A, " Nonlinear Digital Filters : Principles and Application", Norwell, MA: Kluwer1990.
  2. Astola. J and P. Kuosmanen, "Fundamentals of Nonlinear Digital Filtering", Boca Raton, FL: CRC, 1997.
  3. Brownrigg. D. R. K, "The weighted median filter", Commun Ass. Comput. Mach. , Vol. 27, no. 8, pp. 807–818, Aug. 1984
  4. Neal C Gallagher, "Theoretical Analysis of the Properties of Median Filters", IEEE Trans. on Acoustic, Speech and Signal Processing, Vol. ASSp. 29, No. 6, Dec. , 1981.
  5. GonzaloR. Arce, "A Generalization Weighted Median Filter Structure Admitting Real-valued Weights", IEEE Trans. on Signal Processing,Vol. 22, No. 6, pp. 2849-2852,Dec. 1998.
  6. Sung - Jea Ko and Yong Hoon Lee, "Center Weighted Median Filters and Their Applications to Image Enhancement", IEEE Trans. on Circuits and Systems, Vol. 38, No. 9, pp. 984-993, Sep. , 1991.
  7. Ko. S. - J and Lee. S. J, " Center weighted median filters and their applications to image enchancement", IEEE Trans. Circuits Syst. , Vol. 15, pp. 984–993, Sept. 1991.
  8. Sun. T and Neuvo. Y, " Detail - preserving median based filters in image processing", Pattern Recognition Letter, Vol. 15, pp. 341–347, 1994.
  9. H. Hwang and R. A. Haddad, "Adaptive Median Filters: New Algorithms and results",IEEE Trans. Image Processing, vol. 4, No. 4, pp. 499–502, April 1995.
  10. Florencio. D and Schafer. R, ?Decision–based median filter using local signal statistics", in Proc. SPIE Int. Symp. Visual Communications image Processing, Chicago, Sept. 1994.
  11. Yang. R, Gabbouj. M, and Neuvo. Y " An efficient design method for optimal weighted median filtering", in IEEE Int. Symp. Circuits Systems (ISCAS'94), Chicago, IL, , Sept. 1994
  12. Yong Hoon Lee and A. Kassam, " Generalized Median Filtering and Related Nonlinear Filtering Techniques", IEEE Trans. on Acoustic, Speech and Signal Processing,Vol. ASSp. 33, No. 3,June, 1985.
  13. Sun. T and Neuvo. Y, "Detail – preserving median based filters in image processing", Pattern Recognition Letter, Vol. 15,pp. 341– 347,1994.
  14. Zhou Wang and David Zhang "Progressive Switching Median Filter for the removal of Impulse Noise from Highly Corrupted Images", IEEE Trans. on Circuits and Systems- II: Analog and Digital Signal Processing, Vol. 46, No. 1, pp. 78-80, Jan. , 1999.
  15. Tao Chen and Kai - kuang Ma, "Tri - State Median Filter for Image Denoising",IEEE Trans. on Image Processing, Vol. 8, No. 12, pp. 1834- 1838, Dec. , 1999.
  16. Shuqun Zhang and Mohammad A Karim, "A New Impulse Detector for Switching Median Filters", IEEE Signal Processing Lett. , Vol. 9, No. 11, pp. 360-363, Nov. 2002
  17. Pei - Eng Ng and Kai – Kuang ma, "A Switching Median Filter with Boundary Discriminative Noise Detection for Extremely Corrupted Images", IEEE Trans. on Image Processing, Vol. 15, No. 6, pp. 1506-1516, June 2006
  18. R. Pushpavalli and E. Srinivasan, "Multiple Decision Based Switching Median Filtering for Eliminating Impulse Noise with Edge and Fine Detail preservation Properties", International conference on Signal Processing, CIT , Aug. 2007.
  19. R. Pushpavalli and E. Srinivasan, " Multiple Thresholds Switching Median Filtering for Eliminating Impulse Noise in Images",International conference on Signal Processing, CIT, Aug. 2007.
  20. M. Ciuc, V. Vrabie, M. Herbin, and C. Vertan, P. Vautrot, Adaptive Neighborhood best mean rank vector filter for impulsive noise removal," Proc. of IEEE ICIP, pp. 813-816, 2008.
  21. R. Pushpavalli and E. Srinivasan, "Decision based Switching Median Filtering Technique for Image Denoising", CiiT International journal of Digital Image Processing, Vol. 2, no. 10, pp. 405-410, Oct. 2010.
  22. Hadi. Zayyani, Seyyedmajid. Valliollahzadeh, "Sparse Component Analysis (SCA) in Random-valued and Salt and Pepper Noise Removal", International conference on Electrical Engineering, May, 2008.
  23. Noritaka Y, Munenori O, Jianming L, Hiroo S and Takashi Y. , "A Random-valued Impulse Noise Detector Using Level Detection", Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on may 2005.
  24. Hancheng Yu, Li Zhao, and Haixian Wang, "An Efficient Procedure for Removing Random-Valued Impulse Noise in Images", on IEEE Signal Processing Letters, VOL. 15, 2008.
  25. S. Indu and Chaveli Ramesh, "A Noise Fading Technique for Images Highly Corrupted with Impulse Noise," Proceedings of the ICCTA07 , IEEE.
  26. Pei-Eng Ng And Kai-Kuang Ma, "A Switching Median Filter With Boundary Discriminative Noise Detection For Extremely Corrupted Images", IEEE Transaction on Image processing, Vol15, No. 6, pp 1506-1516, 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Impulse Noise Median Filters Image Processing Restoration

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