Removal of Salt-and Pepper Noise in Images: A New Decision-Based Algorithm

Abstract

Abstract—An improved decision-based algorithm for the restoration of gray-scale and color images that are highly corrupted by Salt-and-Pepper noise, is proposed in this paper which efficiently removes the salt and pepper noise while preserving the details. The algorithm utilizes previously processed neighboring pixel values to get better image quality than the one utilizing only the just previously processed pixel value. The proposed algorithm is faster and also produces better result than a Standard Median Filter (SMF), Adaptive Median Filters (AMF), Cascade and Recursive non-linear filters. The advantage of the proposed algorithm (PA) lies in removing only the noisy pixel either by the median value or by the mean of the previously processed neighboring pixel values. Different grayscale and color images have been tested by using the proposed algorithm and found to produce better PSNR and SSIM values. Index Terms—Decision-based filter, impulse noise, median filter, salt-and-pepper noise. I I.