Experimental Study of Modified Multilevel Median Filter for Noise Reduction

Authors

  • Eko Hariyanto  Faculty of Science and Technology, Universitas Pembangunan Panca Budi, Medan, Indonesia
  • Andysah Putera Utama Siahaan  Faculty of Science and Technology, Universitas Pembangunan Panca Budi, Medan, Indonesia
  • Solly Aryza  Faculty of Science and Technology, Universitas Pembangunan Panca Budi, Medan, Indonesia

DOI:

https://doi.org//10.32628/IJSRST196123

Keywords:

Image Processing, Median Filter Multilevel Median Filter

Abstract

Digital image enhancement is efforts to improve the quality of a declining image and one of the causes of the decline in the quality of digital images is the emergence of spots called noise. Median filter is one method that is widely used and developed to digital images noise reduction. In this paper, we conducted an experiment study to reduce noise using a standard multilevel median filter and a modified multilevel median filter. Further, we measured the images filtered quality using MSE and PNSR to find out the advantages of both methods.

References

  1. Gonzales, Rafael C. & Woods, Richard E. 2002. "Digital Image Processing 2nd Edition", Prentice Hall, ISBN : 9780201180756.
  2. Halder, Amiya., Shekhar, Sandeep., Kant, Shashi., Mubarki, Musheer Ahmaed & Pandey, Anand. "A New Efficient Adaptive Spatial Filter for Image Enhancement", Proceedings of 2nd Int. Conf. on Computer Engineering and Applications, 2010, ISBN : 9780769539829, DOI: 10.1109/ICCEA.2010.55
  3. Chen, Hongyan. "A Kind of Effective Method of Removing Compound Noise in Image", Proceedings of 9th Int. Congress on Image and Signal Processing, BioMedical Engineering and Informatics, 2016, ISBN : 9781509037100, DOI : 10.1109/CISP-BMEI.2016.7852700
  4. Lin, Zhu. "A Nonlocal Means Based Adaptive Denoising Framework For Mixed Image Noise Removal", Proceedings of IEEE Int. Conf. on Imaging Processing, 2013, ISBN : 9781479923410, DOI : 10.1109/ICIP.2013.6738094
  5. Chen, Qiqiang. & Wan, Yi. "A New Framework for Image Impulse Noise Removal With Postprocessing", IEEE Visual Communications and Image Processing Conference, 2014, DOI : 10.1109/VCIP.2014.7051601
  6. S, Indu. & Ramesh, Chaveli. "A Noise Fading Technique for Images Highly Corrupted with Impulse Noise", Proceedings of Int. Conf. on Computing: Theory and Applications, 2007, ISBN : 0769527701, DOI : 10.1109/ICCTA.2007.14
  7. Darus, Muhammad S., Sulaiman, Siti N., Isa, Iza S., Hussain Z., Tahir, Nooritawati Md. & Isa, Nor A. M. "Modified Hybrid Median Filter for Removal of Low Density Random Valued Impulse Noise in Images", Proceedings of 6th IEEE Int. Conf. on Control System, Computing and Engineering, 2016, ISBN : 9781509011780, DOI : 10.1109/ICCSCE.2016.7893633
  8. Nooshyar, Mahdi. & Momeny, Mohamad. "Removal of High Density Impulse Noise Using a Novel Decision Based Adaptive Weighted and Trimmed Median Filter", 8th Iranian Conf. on Machine Vision and Image Processing, 2013, DOI: 10.1109/IranianMVIP.2013.6780016
  9. Kuang, Ping. & Sun, Lei. "An Improved Two-Dimensional Multi-Level Median Filtering Algorithm", Int. Conf. on Apperceiving Computing and Intelligence Analysis, 2010, DOI: 10.1109/ICACIA.2010.5709919
  10. Khairul., Wijaya, R. F., Siahaan, Andysah P. U., et al. "Effect of Matrix Size in Affecting Noise Reduction Level of Filtering", Int. Journal of Engineering & Technology, vol. 7 no. 3, pp. 1272-1275, 2018, DOI: 10.14419/ijet.v7i3.11333
  11. Hwang, Humor. & Haddad, Richard A. "Multilevel Nonlinear Filters for Edge Detection and Noise Suppression", Journal of IEEE Transactions on Signal Processing, vol. 42 Issue 2, pp. 249-258, 1994, DOI: 10.1109/78.275599
  12. Arce, G. R. & Foster, R. E. "Multilevel Median Filters: Properties And Efficacy", Int. Conf. on Acoustics, Speech, and Signal Processing, 1988, DOI: 10.1109/ICASSP.1988.196713
  13. Siahaan, Andysah. P. U. 2018. "How to Code: Advanced Encryption Standard in C#", Fakultas Ekonomi Universitas Pembangunan Panca Budi.
  14. Ndajah, P., Kikuchi, H., Yukawa, M., Watanabe, H. & Muramatsu, S., 2011, "An investigation on the quality of denoised images" Int. Journal of Circuits, Systems and Signal Processing, vol. 5, no. 4, pp. 423-434.

Use the online HTML converter to maximize your web content composing efficiency.

Downloads

Published

2019-01-30

Issue

Section

Research Articles

How to Cite

[1]
Eko Hariyanto, Andysah Putera Utama Siahaan, Solly Aryza, " Experimental Study of Modified Multilevel Median Filter for Noise Reduction, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 6, Issue 1, pp.135-139, January-February-2019. Available at doi : https://doi.org/10.32628/IJSRST196123