IJSRSET calls volunteers interested to contribute towards the scientific development in the field of Science, Engineering and Technology

Home > IJSRSET1622279                                                     

Removing Salt and Pepper Noise from the Image using Threshold Mechanism


Kavita Bains, Mr. Taqdir
  • Abstract
  • Authors
  • Keywords
  • References
  • Details
The digital image processing is the mechanism by which image is modified or quality of the image is improved. It may be required in order to transfer the data from one location to another. When data is transmitted from source to the destination then noise may be introduced within the image. The proposed system is going to handle Salt and Pepper noise which can distort the image. Median filter along with the threshold mechanism will be used to reduce the noise from the image. Threshold value will be the maximum values from within the image which will be compared against the obtain pixel values. If the values exceed the maximum values then threshold values will be retained.

Kavita Bains, Mr. Taqdir

Threshold Mechanism, Salt And Pepper Noise , Digital Image Processing

  1. E. Jebamalar Leavline and S. Sutha, "Gaussian noise removal in gray scale images using fast Multiscale Directional Filter Banks", Proceedings of International Conference on Recent Trends in Information Technology, Chennai, India, (2011) June 3-5.
  2. E. Jebamalar Leavline, S. Sutha and D. Asir Antony Gnana Singh, International Journal of Computer Applications, vol. 33, no. 10, (2011).
  3. S. Sutha, E. Jebamalar Leavline and D. Asir Antony Gnana Singh, European Journal of Scientific Research, vol. 86, no. 4, (2012).
  4. R. C. Gonzalez and R. E. Woods, "Digital Image Processing", Pearson Prentice Hall Publication, (2008).
  5. E. Jebamalar Leavline and D. Asir Antony Gnana Singh, International Journal of Imaging & Robotics, vol. 11, no. 3, (2013).
  6. H. Hwang and R. A. Haddad, IEEE Transactions on Image Processing, vol. 4, no. 4, (1995). International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6, No.5 (2013) 352 Copyright ⓒ 2013 SERSC
  7. S. Zhang and M. A. Karim, IEEE Signal Processing Letters, vol. 9, no. 11, (2002).
  8. Z. Wang and D. Zhang, IEEE Transactions on Circuits and Systems II, vol. 46, no. 1, (1999).
  9. P.-E. Ng and M. A. Kai-Kuang, IEEE Transactions on Image Processing, vol. 15, no. 6, (2006).
  10. D. R. K. Brownrigg, Communications of the ACM, vol. 27, no. 8, (1984).
  11. J. Ko and Y. H. Lee, IEEE Trans. Circuits Syst., vol. 38, no. 9, (1991).
  12. T. Chen and H. R. Wu, IEEE Signal Process. Lett., vol. 8, no. 1, (2001).
  13. T. Chen, K.-K. Ma and L.-H. Chen, IEEE Transactions on Image Processing, vol. 8, no. 12, (1999).
  14. https://engineering.purdue.edu/~bouman/ece637/notes/pdf/NonLinFilter.pdf, Accessed online on (2013) 25 August.
  15. T. Sun, M. Gabbouj and Y. Neuvo, "Multidimensional Systems and Signal Processing", vol. 6, no. 2, (1995).
  16. Z. Wang, E. P. Simoncelli and A. C. Bovik, "Multi-Scale Structural Similarity for Image Quality Assessment", Proceedings of the 37th IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, (2003) November 9-12.
  17. Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli, IEEE Transactions on Image Processing, vol. 13, no. 4, (2004).

Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
873-875 IJSRSET1622279   Technoscience Academy

Cite This Article

Kavita Bains, Mr. Taqdir, "Removing Salt and Pepper Noise from the Image using Threshold Mechanism", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.873-875, March-April-2016.
URL : http://ijsrset.com/IJSRSET1622279.php