A Study on Reduction of Impulse Noise from Corrupted Images Using Simple Adaptive Median Filtering
Touseef Sumer · 2014
This paper is based on a reduction of noise for a corrupted images using Simple Adaptive Median filtering. Recently many linear and non linear filtering was proposed for removing noise from images. Based up on the local noise level on digital images size of filter is changed.SAM has three derivatives namely Circular SAM, Weighted SAM and Weighted Circular SAM. In the proposed method of filtering several noises detection is done by simple thresholding. When a median type filter, filters a signal some characteristic will change. But impulse noise will be reduced significantly. Although the median filter is simple and provides a reasonable noise removal performance, it removes thin lines and blurs image details even at low noise densities. A prime benefit to this adaptive approach to median filtering is that it does not erode away edges or other small structure in the image. This paper gives a brief over view of SAM for reducing impulse noise from corrupted images.