An Unique Edge Preserving Noise Filtering Technique for Impulse Noise Removal

Four different noise models are introduced to check the performance of filtering process. All the possible combination of noise densities are covered under

Experimental results show that the filter designed by the proposed window yields 4.45 dB and 30.69 dB smaller ripple ratios and approximately 7.7 times and 5 times

The present paper proposes a novel approach for noise removal cum edge detection for both gray scale and binary images using morphological operations.. Two images consisting of

This paper attempts to remove Salt & pepper, Gaussian and Speckle noise from compound images using median filter, relaxed median filter, wiener, centre weighted median

In this study, an optimal detector noise filtering algorithm and its efficient hardware architecture is proposed which detects and removes the impulse noise from

This paper analyses the impact of using different image processing techniques to minimise the impact of noise in the images used: histogram equalisation, contrast normalisation

a) In removal of Salt & pepper noise, Standard Median Filter (SMF) is efficient in removing low density noise (upto 50%) and the Average Filter is efficient removing

The standard median filter is a simple rank selection filter that attempts to remove impulse noise by changing the luminance value of the center pixel of the filtering window with