Abstract
In this paper, a new method is presented for reducing salt and pepper noise in color images. This method consists of three steps: In the first step, Laplacian operators and threshold values are used to identify pixels that are likely to have been corrupted by noise; in the second step, these noise candidates are judged by using the neighborhood of each pixel. After recognizing the noisy pixels, the vector median filter is used for replacing the noisy pixels, in the third step. The proposed algorithm is tested against different color images, and it gives a better peak signal-to-noise ratio and a lower normalized mean square error. These results have also been checked and analyzed visually. The performance of the proposed method is compared with common existing vector filters at different noise densities. Extensive experiments show that the proposed algorithm provides better performance than many of the existing vector filters in terms of noise suppression and preserving thin lines, fine details, and image edges.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice Hall, Upper Saddle River (2002)
Yli-Harja, O., Astola, J., Neuvo, Y.: Analysis of the properties of median and weighted median filters using threshold logic and stack filter representation. IEEE Trans. Signal Process 39(2), 395–410 (1991)
Ko, S.J., Lee, Y.H.: Center weighted median filters and their applications to image enhancement. IEEE Trans. Circuits Syst. 38(9), 984–993 (1991)
Astola, J., Haavisto, P., Neuvo, Y.: Vector median filters. Proc. IEEE 78(4), 678–689 (1990)
Lukac, R., Plataniotis, K.N., Venetsanopoulos, A.N.: A statistically switched adaptive vector median filter. J. Intell. Robot. Syst. Theory Appl. 42(4), 361–391 (2005)
Camarena, G., Morillas, S., Almanzor, S.: Fast detection and removal of impulsive noise using peer groups and fuzzy metrics. J. Vis. Commun. Image Represent 19, 20–29 (2008)
Smolka, B.: Peer group switching filter for impulse noise reduction in color images. Pattern Recognit. Lett. 12(9), 1016–1025 (2009)
Miloslavski, M., Choi, T.S.: Application of LUM filters with automatic parameter selection to edge detection. Proc. SPIE Int. Soc. Opt. Eng. 3460, 865–871 (1998)
Esakkirajan, S., Veerakumar, T., Subramanyam, A.N., PremChand, C.H.: Removal of high density salt and pepper noise through modified decision based unsymmetric trimmed median filter. IEEE Signal Process. Lett. 18(5), 287–290 (2011)
Nair, M.S., Revathy, K., Tatavarti, R.: Removal of salt-and pepper noise in images: a new decision-based algorithm. Proceedings of the International MultiConference of Engineers and Computer Scientists, Hong Kong, vol. I, pp. 19–21. IMECS, 19–21 March, (2008)
Xu, Q., Zhang, R., Sbert, M.: A new approach to salt-and-pepper noise removal for color images. Proceedings of 5th International Joint Conference on INC, IMS and IDC art, No. 5331426, pp. 1573–1576 (2009)
Wang, S., Wu, C.: A new impulse detection and filtering method for removal of wide range impulse noise. Pattern Recognit. 42, 2194–2202 (2009)
Wanga, G., Li, D., Pan, W., Zang, Z.: Modified switching median filter for impulse noise removal. Signal Process. 90, 3213–3218 (2010)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Pilevar, A.H., Saien, S., Khandel, M. et al. A new filter to remove salt and pepper noise in color images. SIViP 9, 779–786 (2015). https://doi.org/10.1007/s11760-013-0514-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11760-013-0514-6