Abstract—In this paper, a median filtering algorithm for the removal of salt and pepper noise by filtering in both the black and white and colored images has been proposed. Linear and nonlinear filters have been proposed earlier for the removal of impulse noise, i.e., salt and pepper noise; however the removal of impulse noise often bring blurring which results in edges being distorted and poor quality. Here, we introduced salt and pepper noise for the image corruption and reconstruct original image using different filters, i.e., mean and median filter. The mean filter suppresses little noise and gets the worst results. Whereas performance of median filter is good at lower noise density levels. It removes most of the noises effectively while preserving image details very well.

Index Terms—2 dimensional, Median filter, Image denoising

Cite: Megha J Mane and M S Chavan, "DESIGN AND IMPLEMENTATION OF MEDIAN FILTER FOR IMAGE DENOISING," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 2, No. 2, pp. 42-48, April 2013.