Simple Adaptive Switching Median Filter for the Removal Simple Adaptive Switching Median Filter for the Removal Simple Adaptive Switching Median Filter for the Removal Simple Adaptive Switching Median Filter for the Removal of Impulse Noise from corrupted images of Impulse Noise from corrupted images of Impulse Noise from corrupted images of Impulse Noise from corrupted images
Nirmal Attarde · 2013
This paper presents a simple, yet efficient way to remove impulse noise from digital images. Linear and nonlinear filters have been proposed earlier for the removal of impulse noise; however the removal of impulse noise often brings about blurring which results in edges being distorted and poor quality. Therefore the necessity to preserve the edges and fine details during filtering is the challenge faced by researchers today. The proposed method consists of noise detection followed by the removal of detected noise by Adaptive median filter using selective pixels that are not noise themselves in gray level images. Noise detection is based on only the two intensity values i.e. 0 & 255; the pixels are roughly divided into two classes, which are “noise-free pixel” and “noise pixel”. In impulse noise elimination, only the “noisepixels” are processed. The “noise-free pixels” are copied directly to the output image. The method adaptively changes the size of the median filter based on the number of the “noise- pixels” in the neighbourhood. For the filtering, only “noise-free pixels” are considered for the finding of the median value. Computer simulations were carried out to analyse the performance of the proposed method.