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Image Edge Preserving Filter with Impulse Noise Detection and Removal

Neelima*, Pankaj Mohindru**, Pooja Mohindru***

* PG Scholar, Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, India.

**-*** Assistant Professor, Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, India.

Periodicity:April - June'2016
DOI : https://doi.org/10.26634/jdp.4.2.5995

Abstract

This paper illustrates a new non-linear image edge-preserving filter, used for the detection and elimination of immense frequency impulse noise from digital images. Schemed method subsists of two stages i.e., pixel position detection and filtering. Simulation analysis has been performed on distinct images and results have been demonstrated in comparison to some previously designed filters. The proposed scheme works in a satisfactory way even upon noise densities in a high range of 95% to 97% in both visual presentation and quantitative measures. This designed filter preserves the edges of images with high degree of accuracy. Performance parameters such as PSNR, MAE, RMSE, and SSIM are better than most of the schemes currently in use.

Keywords

Impulse Noise, Impulse Detection, Error Flag Matrix, Image Restoration, Mean Filtering, Median Filtering.

How to Cite this Article?

Neelima., Mohindru,P., and Mohindru,P. (2016). Image Edge Preserving Filter with Impulse Noise Detection and Removal. i-manager’s Journal on Digital Signal Processing, 4(2), 24-33. https://doi.org/10.26634/jdp.4.2.5995

References

[1]. P. Siva Kumar, K. Sriknivasan, and M. Rajaram, (2010). “Performance Evaluation of Statistical Based Median Filter to Remove Salt and Pepper Noise”. Second International Conference on Computing, Communication and Networking Technologies.

[2]. Manika Gupta, Beant Kaur, and Garima Saini, (2015). “Slotted Multi-band PIFA for Wireless Applications”. imanager’s Journal on Wireless Communication Network, Vol. 4, No. 3, pp. 22 - 26.

[3]. Astola J, and Kuosmanen P, (1997). Fundamentals of on Linear Digital Filtering. CRC Press, Boca Raton.

[4]. Yin. L, Ruikang Yang, Moncef Gabbouj, and Y. Neuvo, (1996). “Weighted Median Filters”. IEEE Trans Circuits Syst II., Vol. 43, No. 3, pp. 157 - 192.

[5]. Lee Y.H., (1991). “Center Weighted Median Filters and Their Applications to Image Enhancement”. IEEE Trans Circuits Syst., Vol. 38, No. 9, pp. 984 - 993.

[6]. Wang Z, and Zhang D.,(1996). “Progressive Switching Median Filter for The Removal of Impulse Noise From Highly Corrupted Images”. IEEE Trans Circuits Syst II., Vol. 46, No. 1, pp. 78 - 80.

[7]. Srinivasan K.S, and Ebenezer D, (2007). “A New Fast and Efficient Decision-Based Algorithm for Removal of High Density Impulse Noises”. IEEE Signal Process Lett., Vol. 14, No. 3, pp. 189 - 192.

[8]. E.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., Vol. 18, No. 5, pp. 287 - 290.

[9]. Haidi I., Nicholas S. P. K., and Theam F. N., (2008). “Simple Adaptive Median Filter for Removal of Impulse Noise From Highly Corrupted Images”. IEEE Trans Consum Electronics, Vol. 54, No. 4, pp. 1 - 3.

[10]. V.R. Vijay Kumar, G. Santhana Mari, and D. Ebenezer, (2014). “Fast Switching Based Median-Mean Filter for High Density Salt and Pepper Noise Removal”. International Journal of Electronics and Communications, Vol. 68 , pp. 1145 -1155.

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