Design of Improved Method of Noise Removal from Digital Image

Most of the nonlinear filters used in removal of  noise work in two successive phases, i.e. noise detection followed by filtering, only the corrupted pixels keeping uncorrupted ones intact. Performance of such filters is dependent on the performance of detection schemes. In this work, thrust has been put to devise an accurate detection scheme and a improved adaptive filtering mechanism. The proposed method consists of noise detection followed by the removal of detected noise by median filter using selective pixels that are not noise themselves. The noise detection is based on simple thresholding of pixels. Computer simulations were carried out to analyse the performance of the proposed method and the results obtained were compared to that of conventional median filter and center weighted median (CWM) filter and mean filter.