Impulse Noise Detection and Filtering Based On Adaptive Weighted Median Filter (original) (raw)

Improved Impulse noise Detector (IID) for Adaptive Switching Median (ASWM) filter is presented. The idea behind the improved impulse noise detection scheme is based on normalized absolute difference with in the filtering window, and then removing the detected impulse noise in corrupted images by using ASWM filter. This detection scheme distinguishes the noisy and noise-free pixels efficiently. A weighted median filter, based on standard deviation within the filtering window is used in ASWM filtering. The application of absolute difference, will distinguishes the difference between a noise free and noisy pixel more precisely. The proposed scheme results in efficient detection of noisy pixels. Extensive simulation results show that the proposed scheme significantly outperforms in terms of PSNR and MAE than many other variant types of median filter for random-valued impulse noise. More over IID scheme provides better noise detection performance.