Survey on Degraded Image Due To High Density Impulse Noise

Authors

  • L Rama Murthy  Research Scholar, Department of Electronics and Communication Engineering, Rayalaseema University, Kurnool, India
  • Dr. S .Varada Rajan  Professor, Department of Electronics &Communication Engineering, SV University Engineering College, SV University Tirupati, India

Keywords:

Impulse Noise, Denoising Techniques, Noise Suppression, Filters, Edge Preservation

Abstract

Impulse noise has been introduced in the image during the image acquisition process and also caused due to the digital recording in the disks. The Noise removal is one of the major challenges in the field of image processing. Impulse noise removal is one of the most essential and significant preprocessing steps in digital image processing. Filters are good at noise suppression but their performance decreases in terms of edge preservation .In this case, the quality of the image gets totally degraded due to high density impulse noise in the image. The comparative study helps in identification of most proficient algorithms in terms of edge security and noise suppression to restore the original image. This paper presents a review of significant work in the area of image denoising using different image denoising techniques.

References

  1. Mythili, C., and V. Kavitha. "Efficient Technique for Color Image Noise Reduction." The research bulletin of Jordan, ACM 1.11 (2011): 41-44.
  2. Boncelet, Charles. "Handbook of Image and Video Processing, chapter Image Noise Models." (2005).
  3. A. Fabijan´ ska D. Sankowski. Noise adaptive switching median-based filter for impulse noise removal from extremely corrupted images, IET Image Process., 2011, Vol. 5, Iss. 5, pp. 472-480
  4. Moon,K.M. Patil,M.D. Parmar,B. Image restoration using adaptive switching median filter, Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on Date 28-29 Dec. 2010
  5. Jafar, I.F. Na'mneh, R.A. Improving the filtering performance of the BDND algorithm in impulse noise removal, Systems, Signals and Devices (SSD), 2012 9th International Multi-Conference on Date 20-23 March 2012
  6. Chan, R.H., Chen Hu Nikolova, M.: „An iterative procedure for removing random-valued impulse noise‟, IEEE Signal Process. Lett, 2004, 11, (12), pp. 921-924
  7. Chen T, Ma KK, Chen LH. Tri-state median for image denoising. IEEE Trans Image Process 1999; 8:1834-8.
  8. Zhang S, Karim MA. A new impulse detector for switching median filters. IEEE Signal Process Lett 2002;9:360-3.
  9. Aizenberg I, Butakoff C. Effective impulse detector based on rank-order criteria. IEEE Signal Process Lett 2004;11:363-6.
  10. Restoration and Enhancement of Impulse Noise Image for Human Visual System by seema sahu, Nilesh loya from Department of Electronics and Communication Visvesvaraya National Institute of Technology Nagpur, Maharashtra, India
  11. Implementation of Decision Based Algorithm for Median Filter to extract Impulse Noise by Ms. Rutuja N.Kulkarni1 , Prof. P.C.Bhaskar2 Research Scholar, Department of Technology, Shivaji University, Kolhapur,India 
  12. Umbaugh, S. E., 1998, Computer Vision and Image Processing, Prentice-Hall, Englewood Cliffs, NJ, USA.
  13. Yli-Harja, O., Astola, J., and Neuvo, Y. , 1991, “Analysis of the properties of median and weighted median filters using threshold logic and stack filter representation,” IEEE Trans. Signal Processing, vol. 39, no. 2, pp. 395-410.
  14. Ko, S.-J., and Lee, Y. H., 1991, “Center weighted median filters and their applications to image enhancement,” IEEE Trans. Circuits and Systems, vol. 38, no. 9, pp. 984-993.
  15. Chang-Yanab, C., Ji-Xiana, Z., Zheng-Juna, L., 2008, “Study on Methods of Noise Reduction in a Stripped Image, the International Archives of the Improving the Effectiveness of the Median Filter

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Published

2017-10-31

Issue

Section

Research Articles

How to Cite

[1]
L Rama Murthy, Dr. S .Varada Rajan, " Survey on Degraded Image Due To High Density Impulse Noise, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.1078-1081, September-October-2017.