An Efficient Adaptive Switching Median Filter Architecture for Removal of Impulse Noise in Images
V. Dharanya · International Journal for Research in Applied Science and Engineering Technology · 2017
The median filter performs well as long as the spatial density of the impulse noise is not large. However the adaptive switching median filtering can handle impulse noise with probabilities even larger than these. An additional benefit of the adaptive switching median filter is that it seeks to preserve edges while smoothing nonimpulse noise. Considering the high level of noise, the adaptive algorithm performs quite well. The choice of maximum allowed window size depends on the application. In which it compares each pixel with surrounding neighbour pixels. If a pixel is different from neighbourhood is labelled as impulse noise. those noise pixels are replaced by median pixel value. Such that edges are preserved and it smoothens the other noises also.