Farshi, Taymaz Rahkar2021-05-152021-05-1520170219-46781793-6756https://doi.org/10.1142/S0219467817500140https://hdl.handle.net/20.500.12939/926Rahkar-Farshi, Taymaz/0000-0003-4070-1058This paper proposes an efficient noise reduction method for gray and color images that are contaminated by salt-and-pepper noise. In the proposed method, the pixels that are more compatible with adjacent pixels are replaced with target (noisy) pixels. The algorithm is applied on noisy Lena and Mansion images that are contaminated by salt-and-pepper noise with 0.1 and 0.2 noise intensities. Although this method is developed for reducing noise from the images that are contaminated by salt-and-pepper noise, it can also reduce the noise from the images that are contaminated by other types of noises; yet it is more efficient for reducing salt-and-pepper noise. Both numerical and visual comparisons are demonstrated in the experimental simulations. The results show the proposed algorithm can successfully remove impulse noise from images that are contaminated by salt-and-pepper noise.eninfo:eu-repo/semantics/closedAccessImage Noise ReductionImage FilteringImage RestorationArticle10.1142/S0219467817500140173WOS:000413567600002N/A