Fuzzy Based Salt and Pepper Noise Removal Using Adaptive Switching Median Filter

AbstractThis paper concentrates on the removal of impulse noise which mainly occurs due to the transmission medium imperfections, transmission system errors, and faulty memory units. Most of the conventional median filters, process all the pixels without classifying whether it is noisy or noiseless .The proposed method is based on switching median filter. It consists of two stages namely detection stage and filtering stage. In the detection stage neighbourhood mapping based algorithm is used to detect the corrupted pixels. In the filtering stage, the corrupted pixels are filtered by using fuzzy membership function. The uncorrupted pixels are retained as such. The proposed method is compared with many existing algorithms. The proposed algorithm can restore images which are highly corrupted up to 90% noise density. Simulation results show that the proposed switching median filter algorithm is better when compared to other existing techniques in terms of visual and quantitative measures such as PSNR, MSE, SSIM using MATLAB