The week's pick
Random Articles
Reseach Article
A Switching Weighted Adaptive Median Filter for Impulse Noise Removal
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 28 - Number 9 |
| Year of Publication: 2011 |
| Authors: S.Kalavathy, R.M.Suresh |
10.5120/3418-4769
|
S.Kalavathy, R.M.Suresh . A Switching Weighted Adaptive Median Filter for Impulse Noise Removal. International Journal of Computer Applications. 28, 9 ( August 2011), 8-13. DOI=10.5120/3418-4769
Abstract
Images are often corrupted by impulse noise due to a noisy sensor or channel transmission errors. The goal of impulse noise removal is to suppress the noise by preserving the integrity of edges and detail information. In this paper, a new filter called Switching Weighted Adaptive Median (SWAM) filter is proposed for effective suppression of impulse noise which is used to incorporate the Recursive Weighted Median (RWM) filter and the Switching Adaptive Median (SAM) filter. The adaptive window size is selected using RWM and the output image produced by this filter with least mean square error is considered as input image to SAM filter where impulse detection mechanism is adopted. In this mechanism, the noise is attenuated by estimating the values of noisy pixels with a switch based median filter applied exclusively to those neighborhood pixels not labeled as noisy. Simulation results show consistent and stable performance across a wide range of noise density ranging from 10% to 90%. Unlike the filters like SMF, AMF, WMF and RWM, in the proposed SWAM filter, the window size is selected first based on the presence of the noise density which helps to preserve 2D edge structures of image and delivers a better performance with less computational complexity even at high density impulse noise.
References
- G.Arce, J.Paredes, 2000. Recrusive weighted median filters admitting negative weights and their optimization, IEEE Trans.signal proc. 49.
- Bovi, 2000. Handbook of image and video processing New York, Academic.
- R.H.Chan et al 2005. Salt and pepper noise removal by median type noise detection and detail processing regulations IEEE Trans.Image Process. 14, 1479-1485.
- H.I.Eng, K.K.Ma, 2001. Noise adaptive soft switching median filter IEEE Trans. Images process. 10, 242–251.
- Ho Ming et al, 1998. Median filters with adaptive length IEEE Transcations of the circuits and systems, 35.
- T.S Huang et al, 1979. Fast two dimensional median filtering algorithm, IEE Trans. Acoustics Speech Signal Process ASSP, 1, 13–18.
- H.Hwang and R.A Hadaad, Adaptive Median filters new algorithms and results IEEE Trans. On image processing 4, 499–502.
- Mamta Juneja, Rajni Mohana, 2009. An improved adaptive median filtering method for impulse noise detection International Journal of Recent Trends in Engg. 1.
- S Manikandan et al, 2004. Adaptive length recursive weighted median filter with improved performance in impulsive noisy environment, WSEAS transaction on Electronics, issue3, 1.
- Nicklova, 2004. A variational approach to remove outlines and impulse noise Journal of Mathematical imaging and risson. 20, 99–120.
- I.Pitas and A.N Venetsanopoulos, 1990. Nonlinear Digital Filters Principles and Applications, Norwell MA .Kluwer.
- G.Pok and J.C.Liu, 1999. Decision based median filter improved by predictions in proc. ICIP. 2, 410–413.
- C.A Pomalaza-Raz, C.D. Macgillem,1984. An adaptive non linear edge preservering filter IEEE Trans Acoust. Speech Signal Process ASSP -32, 571–576.
- V.R VijayKumar et al, 2008. Adaptive window length Recrussive weighted median filter for removing impulse noise in images with details preservation.ECTI Transactions on Electrical Eng.Elect.and Communications, 6.
- Z.Wang, D.Zhang, 1999. Progressive switching median filter for the removal of impulse noise from highly corrupted images, IEEE Trans. On circuits and systems 11.46, 78–80.
- S.Zhang, M.A Karim, 2002. A new impulse detector for switching median filter IEEE signal process Lett. 9, 360–363.
- Rajoo Pandey,2008, An improved switching median filter for uniformly distributed impulse noise removal, World Academy of Science Engineering and Technology 38.
Index Terms
Keywords