Performance evaluation of non-iterative adaptive median filter
Amanpreet Kaur, Rahul Malhotra, Ravneet Ruby Kaur · 2015
Imaging noise is unwanted information embedded within the original image. Image noise mainly refers to variations in the brightness, illumination, contrast or intensity in images. It is usually formed by the circuitry of scanner or camera sensors used while the acquisition of an image. This paper has focused on to replace the noisy pixel in given window using sorted non-iterative median filter. It has considered traditional median and mean filter with variable window size based filters. The non-iterative median filter has shown effective results as it will replace the noisy pixel with its best suitable alternative among the available noise free pixels. Image processing toolbox has been used to design the given filters in MATLAB in order to perform the experiments. Comparative analysis among the selected filters has shown that the variable window size based medina has quite effective results among others.