An Efficient Morphological Salt-and-Pepper Noise Detector

An efficient two stage morphological impulse noise detector is proposed in this paper. The proposed method first identifies the noise pixels by comparing the current pixel with the brightest and the darkest pixels in its working window and then in second stage morphological operations based detector is used to improve the performance of impulse noise detector. Simulation results performed on different images shows better results in terms of the qualitative and quantitative measures of the images.