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An efficient adaptive algorithm for the removal of Salt and Pepper noise fromgray scale and color image is presented in this paper. In this proposed methodfirst a 3X3 window is taken and the central pixel of the window is consideredas the processing pixel. If the processing pixel is found as uncorrupted, thenit is left unchanged. And if the processing pixel is found corrupted one, thenthe window size is increased according to the conditions given in the proposedalgorithm. Finally the processing pixel or the central pixel is replaced byeither the mean, median or trimmed value of the elements in the current windowdepending upon different conditions of the algorithm. The proposed algorithmefficiently removes noise at all densities with better Peak Signal to NoiseRatio (PSNR) and Image Enhancement Factor (IEF). The proposed algorithm iscompared with different existing algorithms like MF, AMF, MDBUTMF, MDBPTGMF andAWMF.

Removal of Salt and Pepper noise from Gray-Scale and Color Images: An Adaptive Approach