Optimization of the number of iterations in the iterative weighted neighborhood filtering

An iterative removal of the impulsive noise by weighted low pass (WLP) masks is considered in this paper. The optimization of the number of iterations is achieved throughout the minimization of the MAE of the p-order reverse image defined for this purpose. An optimum reverse image is obtained and the corresponding number of iterations is considerably reduced, depending on the parameters of the WLP filter. The comparison of the MAE shows that the blurring effect due to the WLP filter is less than that caused by the median filter. According to this remark, the optimized WLP filtering can be preferred to the median filtering for edges preserving.