We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Survey on Removal of Universal Noise from Images

by Muthuselvi.s, Narmadha.d
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 7
Year of Publication: 2012
Authors: Muthuselvi.s, Narmadha.d
10.5120/9296-3512

Muthuselvi.s, Narmadha.d . Survey on Removal of Universal Noise from Images. International Journal of Computer Applications. 58, 7 ( November 2012), 27-31. DOI=10.5120/9296-3512

@article{ 10.5120/9296-3512,
author = { Muthuselvi.s, Narmadha.d },
title = { Survey on Removal of Universal Noise from Images },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 7 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number7/9296-3512/ },
doi = { 10.5120/9296-3512 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:01:52.245685+05:30
%A Muthuselvi.s
%A Narmadha.d
%T Survey on Removal of Universal Noise from Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 7
%P 27-31
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Removing mixed noise from images is one of the challenging problem. In this paper, review the types of filtering approach and noise detection technique for remove mixed noise from images. Switching bilateral filter is one of the best methods for removing mixed noise. Compare to other filters, the switching scheme is best one for restore high level impulse noise in images. Computational complexity of SBF is less than the other universal noise removal filters.

References
  1. A. C. Bovik, T. S. Huang, and D. C. Munson, "A generalization of median filtering using linear combinations of order statistics," IEEE Trans. ASSP, vol. 31, pp. 1342–1350, Dec. 1983.
  2. R. Garnett, T. Huegerich, C. Chui, and W. He, "A universal noise removal algorithm with an impulse detector," IEEE Trans. Image Process. , vol. 14, no. 11, pp. 1747–1754, Nov. 2005.
  3. Y. Dong and S. Xu, "A new directional weighted median filter for removal of random-valued impulse noise," IEEE Signal Process. Lett. , vol. 14, no. 3, pp. 193–196, Mar. 2007.
  4. C. Tomasi and R. Manduchi, "Bilateral filtering for gray and color images," in Proc. IEEE Int. Conf. Computer Vision, 1998, pp. 839–846.
  5. W. K. Pratt, Digital Image Processing. New York: Wiley, 1978.
  6. S. J. Ko and Y. H. Lee, "Center weighted media filters and their applications to image enhancement," IEEE Trans. Circuits Syst. , vol. 38, no. 9, pp. 984–993, Sep. 1991.
  7. R. C. Hardie and K. E. Barner, "Rank conditioned rank selection filters for signal restoration," IEEE Trans. Image Process. , vol. 3, no. 3, pp. 192–206, Mar. 1994.
  8. Ms. Neha Jain , " Noise cancellation using Adaptive trilateral filter, " Research Paper: International Journal of Recent Trends in Engineering,. Vol. 1, No. 1, May 2009.
  9. S. Peng and L. Lucke, "Multi level adaptive fuzzy filter for mixed noise removal," in Proc. IEEE Int. Symp. Circuits Systems, Seattle, WA, Apr. 1995, vol. 2, pp. 1524–1527.
  10. M. Elad, "On the origin of the bilateral filter And ways to improve it" IEEE Trans. Image Processing vol. 11,pp. 114-1151,Oct. ,2002.
  11. R H. Chan, C. W. Ho, and M. Nikolova, "Salt and pepper noise removal by median-type noise detectors and detail preserving regularization," IEEE Trans. Image Process. , vol. 14, no. 10, pp. 1479–1485,Oct. 2005.
  12. Geoffrine Judith. M. and N. Kumarasabapathy, "Study and analysis of impulse noise reduction filters, "Signal & Image Processing : An International Journal (SIPIJ) Vol. 2, No. 1, March 2011.
  13. I. Pitas and A. N. Venetsanopoulos, Nonlinear Digital Filters: Principles and Applications. Norwell, MA:Kluwer, 1990.
  14. E. Abreu, M. Lightstone, S. Mitra, and K. Arakawa, "A new efficient approach for the removal of impulse noise from highly corrupted images," IEEE Trans. Image Processing, vol. 5, pp. 1012–1025, June 1996.
  15. Pankaj Kumar Sa, Ratnakar DasH and Banshidhar Majhi, " Second order difference based detection and Directional weighted median filter for removal of random valued impulsive noise," Fourth IEEE International Conference on Industrial and Information Systemsf 28–31 December 2009, University of Peradeniya, SriLanka.
Index Terms

Computer Science
Information Sciences

Keywords

Gaussian noise Impulse noise Mixed noise Noise detection Impulse noise Switching bilateral filter