Research Article
An Approach to Minimize Very High Density Salt and Pepper Noise through Trimmed Global Mean
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 39 - Issue 12 |
| Published: February 2012 |
| Authors: T. Veerakumar, S. Esakkirajan, Ila Vennila |
10.5120/4874-7303
|
T. Veerakumar, S. Esakkirajan, Ila Vennila . An Approach to Minimize Very High Density Salt and Pepper Noise through Trimmed Global Mean. International Journal of Computer Applications. 39, 12 (February 2012), 29-33. DOI=10.5120/4874-7303
@article{ 10.5120/4874-7303,
author = { T. Veerakumar,S. Esakkirajan,Ila Vennila },
title = { An Approach to Minimize Very High Density Salt and Pepper Noise through Trimmed Global Mean },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 39 },
number = { 12 },
pages = { 29-33 },
doi = { 10.5120/4874-7303 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A T. Veerakumar
%A S. Esakkirajan
%A Ila Vennila
%T An Approach to Minimize Very High Density Salt and Pepper Noise through Trimmed Global Mean%T
%J International Journal of Computer Applications
%V 39
%N 12
%P 29-33
%R 10.5120/4874-7303
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, we are proposing an approach to minimize very high density salt and pepper noise through trimmed global mean. The Modified decision based unsymmetrical trimmed median filter tries to remove high density salt and pepper noise by taking the mean value of the elements within the processing window. This algorithm fails if all the elements within the processing window is either ‘0’ or ‘255’. In our approach, if all the elements within the window are ‘0’ or ‘255’ then the noisy pixel is replaced by the trimmed global mean. The proposed algorithm exhibits better image quality than the median filter, adaptive median filter, decision based median filter and modified decision based unsymmetrical trimmed median filter. The proposed algorithm is tested for different grayscale and color images and it gives better peak signal to noise ratio and image enhancement factor.
References
- Astola, J. and Kuosmanen, P. 1997. Fundamentals of Nonlinear Digital Filtering.Boca Raton, FL: CRC.
- Huang, T. S., Yang, G. J., and Tang, G. Y. 1979. Fast two-dimensional median filtering algorithm, IEEE Trans. Acoustics, Speech, Signal Process. 1 (Jan. 1979), 13-18.
- Hwang, H., and Hadded, R. A. 1995. Adaptive median filter: New algorithms and results, IEEE Trans. Image Process. 4 (Apr. 1995), 499-502.
- Srinivasan K. S., and Ebenezer, D. 2007. A new fast and efficient decision based algorithm for removal of high density impulse noise, IEEE Signal Process. Lett. 14 (Mar. 2007), 189-192.
- Ng, P. E., and Ma, K. K. 2006. A switching median filter with boundary discriminative noise detection for extremely corrupted images, IEEE Trans. Image Process., 15 (Jun. 2006), 1506–1516.
- Luo, W. 2006. An efficient detail-preserving approach for removing impulse noise in images, IEEE Signal Process. Lett. 13 (Jul. 2006), 413-416.
- Chen, P. Y., and Lien, C. Y. 2008. An Efficient Edge-Preserving Algorithm for Removal of Salt-and-Pepper Noise, IEEE Signal Processing Letters. 15(2008), 833-836.
- Esakkirajan, S., Veerakumar, T., Subramanyam, A.N., and PremChand, C. H. 2011. Removal of High Density Salt and Pepper Noise Through Modified Decision Based Unsymmetric Trimmed Median Filter, IEEE Signal Process. Lett. 18 (May 2011), 287–290.
- Wang, Z., and Zhang, D. 1999. Progressive switching median filter for the removal of impulse noise from highly corrupted images, IEEE Trans. Circ. Syst.—II: Analog Digit. Signal Process. 46 (Jan. 1999), 78–80.
Index Terms
Keywords