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Level Shifting based Decision Trimmed Filter for Multiplicative Noises
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 145 - Number 5 |
| Year of Publication: 2016 |
| Authors: Sukhninder Singh, Neetu |
10.5120/ijca2016910616
|
Sukhninder Singh, Neetu . Level Shifting based Decision Trimmed Filter for Multiplicative Noises. International Journal of Computer Applications. 145, 5 ( Jul 2016), 9-14. DOI=10.5120/ijca2016910616
Abstract
The most recent approach manages to boost the particular contrast within digital images in productive manner through the use of the incorporated proposed algorithm. To preserve the edges and borders gradient based smoothing will also be used. And also the proposed approach has offered quite useful results, thus causes it to become more useful. The planned technique is created and implemented inside the MATLAB utilizing image processing toolbox. The comparison among proposed and existing median filter techniques will also be drawn by taking some image performance parameters like root mean square error, edge preservation index.
References
- Chengbin Zhang,Kaifu Wang, “A switching median-mean filter for removal of high density impulse noise from digital images,” in Optik-Int. Jour. for light and electron optics (IJLEO-Vol. 126), 2015.
- S. Esakkirajan, T. Veerakumar, Adabala N. Subramanyam, and C. H. Prem Chand,”Removal of High Density Salt and Pepper Noise Through Modified Decision Based UnsymmetricTrimmed Median Filter”, IEEE SIGNAL PROCESSING LETTERS, VOL. 18, NO. 5, MAY 2011.
- Priyanka Kamboj, Versha Rani,”Image Enhancement Using Hybrid FilteringTechniques “,International Journal of Science and Research, Vol 2, No. 6, June 2013.
- Shanmugavadivu, Eliahim Jeevaraj,”Laplace Equation based Adaptive Median Filter for Highly Corrupted Images”International Conference on Computer Communication and Informatics 2012, Jan. 10 – 12, 2012.
- Shanmugavadivu P and Eliahim Jeevaraj P S,” Fixed–Value Impulse Noise Suppression for Images using PDE based Adaptive Two-Stage Median Filter”, ICCCET-11 (IEEE Explore), pp. 290-295, 2011.
- K. S. Srinivasan and D. Ebenezer, “A new fast and efficient decision based algorithm for removal of high density impulse noise,” IEEE Signal Process. Lett, vol. 14, no. 3, pp. 189–192, Mar. 2007.
- V Jayaraj and D. Ebenezer, “A new switching-based median filtering scheme and algorithm for removal of high-density salt and pepper noise in image,” EURASIP J. Adv. Signal Process. 2010.
- K. Aiswarya, V. Jayaraj, and D. Ebenezer, “A new and efficient algorithm for the removal of high density salt and pepper noise in images and videos,” in Second Int. Conf. Computer Modeling and Simulation,2010, pp. 409–413.
- S.J Horng,L.Y Hsu, “Using sorted switching median filter to remove high-density impulse noise,” JVCIR,Vol 24,Oct 2013.
- P. E. Ng and K. K. Ma, “A switching median filter with boundary discriminative noise detection for extremely corrupted images,” IEEE Trans. Image Process. , vol. 15, no. 6, pp. 1506–1516, June 2006.
- Afrose,”Relaxed Median Filter: A Better Noise Removal Filter for Compound Images”, International Journal on Computer Science and Engineering (IJCSE) Vol. 4 No. 07 July 2011.
- Wei Ping et al., “A Fast and reliable switching median filter for highly corrupted images by impulse noise.” vol. 1, pp. 4244-0921, IEEE, 2007.
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