reduction of impulse noise by using novel filter

U.Kanagalalitha,D.Geetha,K.Siva Agora sakthivel murugan,M.Anandakumar

Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology

ISSN: 2321-3337          Impact Factor:1.521         Volume:1         Issue:2         Year: 06 August,2012         Pages:375-382

International Journal of Advanced Research in Computer Science Engineering and Information Technology

Abstract

A novel method for the removal of impulse noise from digital images is introduced. In proposed filter, threshold is computed locally from image pixels intensity values in a window and a detail preserving noise filter. Initially, detection phase classifies any possible impulsive noise pixels. Subsequently, the filtering phase replaces the detected noise pixels where fuzzy reasoning is employed to deal with uncertainties. Results show that proposed method provides better performance in terms of PSNR than many other median filter variants for random-valued impulse noise.

Kewords

Random Valued Impulse Noise, Detail preserving, PSNR, Fuzzy Reasoning, Uncertainty.

Reference

[1]. W. Luo, “Efficient removal of impulse noise from digital images,” IEEE Trans. Consumer Electron., vol. 52, no. 2, pp. 523-527, May 2006. [2]. Y. Dong, R. H. Chan, and S. Xu, “A detection statistic for random-valued impulse noise,” IEEE Trans. Image Process., vol. 16, no. 4, pp. 1112-1120, Apr. 2007. [3]. K. K. V. Toh, H. Ibrahim, and M. N. Mahyuddin, “Salt-and-Pepper Noise Detection and Reduction Using Fuzzy Switching Median Filter,” IEEE Trans. Consumer Electron., vol. 54, no. 4, pp. 1956-1961, Nov. 2008. [4]. H. Ibrahim, N. S. P. Kong, and T. F. Ng, “Simple adaptive median filter for the removal of impulse noise from highly corrupted images,” IEEE Trans. Consumer Electron., vol. 54, no. 4, pp. 1920-1927, Nov. 2008. [5]. P. Civicioglu, “Removal of random-valued impulsive noise from corrupted images,” IEEE Trans. Consumer Electron., vol. 55, no. 4, pp. 2097-2104, Nov. 2009. [6]. K. K. V. Toh and N. A. Mat Isa, “Noise adaptive fuzzy switching median filter for salt-and-pepper noise reduction,” IEEE Signal Process. Lett. vol. 17, no. 3, pp. 281-284, Mar. 2010. [7]. F. Russo and G. Ramponi, “A fuzzy filter for images corrupted by impulse noise,” IEEE Signal Process. Lett. vol. 3, no. 6, pp. 168-170, June 1996. [8]. Y. Dong and S. Xu, “A new directional weighted median filter for removal of random-valued impulse noise,” IEEE Signal Process. Lett. vol. 14, no. 3, pp. 193-196, Mar. 2007. [9]. J. Zhang, “An efficient median filter based method for removing random valued impulse noise,” Digit. Signal Process, vol. 20, no. 4, pp. 1010-1018, July 2010.