IJSER Home >> Journal >> IJSER
International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 2    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 2,February 2012
Switching Median Filter For Image Enhancement
Full Text(PDF, )  PP.431-435  
Author(s)
R. Pushpavalli and Shivaradje
KEYWORDS
Impulse Noise, Median Filtering, Nonlinear Filter, Order Statistics Filter, Image Enhancemen
ABSTRACT
In this paper, a new nonlinear filtering technique is introduced for enhancement of images that are highly contaminated by impulse noise. The proposed filtering technique is more effective in eliminating impulse noise and preserving the image features. The filter replaces a corrupted pixel by the median value or by its processed neighboring pixel value. The uncorrupted pixels are left undisturbed. Simulation studies show that the proposed filter can eliminate impulse noise of densities up to 70% while preserving the edges and fine details satisfactorily. The performance of the filter is evaluated by applying it on different test images and the results obtained are presented
References
[1] Pitas. I and Venetsanopolous . “A Nonlinear Digital Filters: Principles and Application‖, Norwell, MA: Kluwer, 1990.

[2] Astola. Jand Kuosmanen.P, ― Fundamentals of Nonlinear Digital Filtering‖, Boca Raton, FL: CRC, 1997.

[3] Sun.T and Neuvo.Y, ―Detail – preserving median based filters in image processing‖, Pattern Recognition Letter, Vol.15,pp. 341– 347, 1994.

[4] Tzu - Chao Lin and Pao –TaYu, Salt – Pepper Impulse noise detection and removal using Multiple Thresholds for image restoration ‖, Journal of Information science and Engineering, vol.4, pp 189-198, June 2006.

[5] R. H. Chan Chung– Wa Ho, M. Nikolova, ―Salt and Pepper Noise Removal by Median Type Noise Detectors and Detail – Preserving Regularizatio‖, IEEE Trans on Image Processing, Vol. 14, No.10, pp.1479-1485, Oct. 2005.

[6] Pei - Eng Ng and Kai - Kuang Ma, ―A Switching Median Filter with Boundary Discriminativ Noise Detection for Extremely Corrupted Images‖, IEEE Trans. on Image Process, Vol.15, no.6, Jun. 2006.

[7] Florencio.D and Schafer.R, ″ Decision–based median filter using local signal statistics ‖, in Proc. SPIE Int Symp. Visual Communications image Processing, Chicago, Sept. 1994.

[8] Madhu S. Nair, K.Revathy, Rao Tatavarti, "An Improved Decision Based Algorithm for Impulse Noise Removal" , Proceedings of International Congress on Image and Signal Processing - CISP IEEE Computer Society Press, Sanya, Hainan, China, Vol.1, pp.426- 431, May 2008.

[9] V. Jayaraj and D. Ebenezer, ―A New Adaptive DecisionBased Robust Statistics Estimation Filter for High Density Impulse Noise in Images and Videos‖,International Conference on Control, Automation, Communication and Energy conversion, 2009.

[10] Fei Duan and Yu– Jin Zhang, ―A Highly Effective Impulse Noise Detection Algorithm for Switching Median Filters‖, EEE Signal Processing Letters,Vol.17, No.7, July, 2010.

Untitled Page