An Efficient Salt and Pepper noise Removal and Edge preserving Scheme for Image Restoration

Noise Suppression from images is one of the most important concerns in digital image processing. Impulsive noise is one such noise, which may corrupt images during their acquisition or transmission or storage etc. Removing noise from any processed image is very important noise should be removed in such a way that important information of image should be preserved. For removing salt and pepper noise from corrupted image we are using so many algorithms. In this paper we propose two phase scheme for removing salt and pepper noise and edge preservation; in the first phase Adaptive median filter is used to detect corrupted pixel and preserving the edges. In the second phase Non-Local Means algorithm is used in order to have better quality of reconstitution. The proposed algorithm works well in removing salt and pepper noise at high density and preserving edges smoothly and fine detail of image compare to others. Obtained results show that the implementation of this proposal gives considerable noise suppression, even with high noise densities.