Fuzzy Rule based Median Filter for Gray-scale Images
Kh. Manglem Singh · J. Inf. Hiding Multim. Signal Process. · 2010
The paper proposes a new algorithm for detection and ltering of impulse noise from gray-scale images. The detection scheme consists of two stages. In the rst stage, it is tested whether the centre pixel in the window of the image is healthy or not by incorporating the condition of the rank-conditioned median lter. The cen- tre pixel may be an impulse if it lies outside the trimming range. The rst stage is empowered by the second stage, in which the centre pixel is further claried by the soft thresholding method of impulse detection by Arakawa's fuzzy-based median lter. The centre pixel is replaced by the median of the pixels in the window, if both stages conclude that the centre pixel is an impulse noise. It was shown experimen- tally that the proposed method outperforms the other methods under consideration visually and in term of PSNR values. Keywords: Median lter, Rank-conditioned median lter, Soft thresholding, Fuzzy logic, Trimming set.