Trimmed Non-local Means Technique for Mixed Noise Removal in Color Images

Abstract

In this paper a novel approach to the mixed noise removal in color images is proposed. The described method is a generalization of the Non-Local Means algorithm, where the pixels in the filtering window are ordered and only the most centrally located pixels in the filtering window are considered and used to calculate the weights needed for the averaging operation. The comparison with the existing state-of-the-art denoising schemes in terms of image restoration quality measures shows, that the new approach yields significantly better results in suppressing mixed noise in color digital images.