Fuzzy based Window Detection and Median filter Correction for Impulse Noise Reduction
Kanika Gupta, Sumana Gupta · 2013
This paper presents a useful dual stage filter i.e. fuzzy window detection and median filter (FWDM) for the detection and removal of salt-and-pepper noise. Initially, the stage of detection utilizes the corrupted image histogram for the detection of pixels, then in the next stage i.e. filtering stage, all the noisy pixels will be subjected for further processing while all the noise-free pixels are kept and remains unchanged.Then, the fuzzy reasoning is applied to the filtering mechanism to deal with the uncertainty present in the local information which is extracted by the filter. Simulation results show that it outperforms various existing filters in literature for the detection of salt-and-pepper noise.