Removal of High Density Impulse Noise using Efficient Median Filter for Digital Image

Abstract

An Efficient Median Filter (EMF) algorithm for removal or enhancement of gray scale images are highly corrupted impulse noise is proposed in this paper. Noise in image are represent the pixel value 0's and 255's are ensures that black and white dot in image. In proposed algorithm take an image and select 3x3 size window and target or center pixel value check if its value is 0's or 255's then image is corrupted otherwise noise free image. If image is noisy and target pixels neighboring pixel value is between 0's and 255's then we replace pixel value with the median value and if target pixels neighboring pixel value is 0's or 255's then we replace pixel value with the mean value. Else increased the window size and again repeat this process until image is denoised. The proposed filter algorithm shows better simulation result as compare the existing algorithms. The simulation result shows better and efficient performance of PSNR and MSE and computation time.

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“…Noise filtering is one of the pre-processing steps in every digital image processing technique. A median filter is a popular noise filter which is used to remove salt and pepper noise in digital images [16][17][18][19] . It has been reported that impulse noise in high-density noisy images can be effectively removed by using an improved algorithm such as a decision based adaptive neighborhood median filter [20].…”