The week's pick
Reseach Article
Gaussian Noise Filtering Techniques using New Median Filter
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 95 - Number 12 |
| Year of Publication: 2014 |
| Authors: H. S Shukla, Narendra Kumar, R. P Tripathi |
10.5120/16645-6617
|
H. S Shukla, Narendra Kumar, R. P Tripathi . Gaussian Noise Filtering Techniques using New Median Filter. International Journal of Computer Applications. 95, 12 ( June 2014), 12-15. DOI=10.5120/16645-6617
Abstract
Image filtering is a essential part of image processing. There are various filter are available but gives better result only for particular noise. Median filter are one of them median filter give better result for 'salt and pepper' noise but when we use this filter in Gaussian noise not give better result. We are proposing a new median filter with some modification of existing median filter pixel values for Gaussian noise. We are also showing comparison with existing various size of median filtering also showing the result using some noise parameters.
References
- A. K. Jain, "Fundamentals of Digital Image Processing", Engelwood Cliff, N. J. : Print ice Hall, 2006.
- S. K. Satpathy, S. Panda, K. K. Nagwanshi and C. Ardil, "Image Restoration in Non-Linear Filtering Domain using MDB approach", International Journal of Information and Communication Engineering, Vol. 6, No. 1, 2010.
- J. S. Lee,"Digital Image Enhancement and Noise Filtering by use of Local Statistics", IEEE Trans. On Pattern Analysis and. Machine Intelligence, Vol. PAMI-29, March,1980.
- H. Taub, D. L. Schilling, "Principles of Communication Systems", TMH,1991.
- Tanaphol Thaipanich and Jay Kuo, "An Adaptive Nonlocal Means Scheme for Medical Image Denoising", In Proceedings of SPIE Medical Imaging, Vol. 7623, San Diego, CA, USA, February 2010
- Su Cheol Kang and Seung Hong Hong, "A Speckle Reduction Filter using Wavelet- Based Methods for Medical Imaging Application", In Proceedings of 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 3, pp. 2480-2483,Istanbul, Turkey, October 2001
- Jose V. Manjón, Neil A. Thacker, Juan J. Lull , Gracian Garcia-Marti , Luis Marti-Bonmati and Montserrat Robles, "Multicomponent MR Image Denoising", Journal of Biomedical Imaging, Vol. 2009, No. 18, pp. 1-27, 2009
- Perona and Malik, "Scale-space and edge detection using anisotropic diffusion", IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 12, No. 7, pp. 629-639, 1990
- Manjon, Robles and Thacker, "Multispectral MRI de-noising using non-local means", In Proceedings of MIUA, pp. 41-46, Aberystwyth, 2007
- Gerig, Kubler, Kikinis and Jolesz, "Nonlinear Anisotropic Filtering of MRI Data", IEEE Transaction on Medical Imaging, Vol. 11, No. 1, pp. 221-232, 1992
- Wood and Johnson, "Wavelet Packet Denoising of Magnetic Resonance Images: Importance of Rician Noise at Low SNR", Magnetic Resonance in Medicine, Vol. 41, No. 1, pp. 631-635, 1999
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