This paper presents a novel method for the removal of random valued impulse noise. The proposed method consists of two stage detection where the noisy pixels are detected followed by filtering which replaces only the noisy pixels. The filtering process is a recursive process where the preprocessed pixels are also considered. Each and every pixel is processed and can restore images which are highly corrupted up to 60% noise density with improved PSNR value and low value of MSE. The image clarity is maintained with improved visual quality.

1. Kenny Kal Vin Toh, and Nor Ashidi Mat Isa,2010, “Noise Adaptive Fuzzy Switching Median Filter for Salt-and-Pepper Noise Reduction”, IEEE Signal Processing Letters, Vol. 17, No. 3, pp. 281-284
2. Pinar Civicioglu, 2009, “Removal of Random-Valued Impulsive Noise from Corrupted Images”, IEEE Transactions on Consumer Electronics, Vol. 55,No.4,pp. 2097 - 2104
3. Ali Awad S and Hong Man, 2007, “Robust Detection Technique for Removing Random-Valued Impulse Noise”, IEEE International Symposium on Signal Processing and Information Technology, pp. 575- 577
4. Chih-Yuan Lien, Pei-Yin Chen, Li-Yuan Chang, Yi-Ming Lin and Po-Kai Chang, 2010 , “An Efficient Denoising Chip for the Removal of Impulse Noise”, IEEE International Symposium on Circuits and Systems, pp. 1169-1172
5. Yiqiu Dong and Shufang Xu, 2007, “A New Directional Weighted Median Filter for Removal of Random-Valued Impulse Noise”, IEEE Signal Processing Letters, Vol. 14, No. 3,pp. 193-196
6. Umesh Ghanekar, Awadhesh Kumar Singh, and Rajoo Pandey, 2010 ,“A Contrast Enhancement-Based Filter for Removal of Random Valued Impulse Noise”, IEEE Signal Processing Letters, Vol. 17, No. 1,pp. 47-50
7. Luo W., 2006 , “An efficient detail-preserving approach for removing impulse noise in images”, IEEE Signal Process. Lett., Vol. 13, No. 7, pp.413–416

Fuzzy Reasoning Directional Filter PSNR values MSE values