An approach for High Density Impulse Noise Removal using Modified Median Filter

Abstract

Images are imitations of real world objects. Often an image is a two dimensional (2D) signal
f(x,y) represent the amplitude or intensity of the image. In the Transmission of images, they
are corrupted by salt and pepper noise, due to faulty communications. Salt and Pepper noise
is also known as Impulse noise. The intention of filtering is to eradicate the impulses so that
the noise less image is fully enhanced with slightest signal distortion. The best-known and
most commonly used nonlinear digital filters, based on order statistics are median filters,
also known as Simple Median Filter (SMF). Median filters are recognized for their capability
to remove impulse noise without damaging the edges. The main aim of this work is to modify
the existing median filters and implement the modified median filter for reduction of high
density impulse noise (salt & pepper noise). Then evaluate the performance of the algorithm
using MSE & PSNR parameters.