A nonlinear filtering algorithm for removing high-density salt and pepper noise

An efficient nonlinear filtering algorithm was presented to remove high-density salt and pepper noise.The threshold classification method is used to divide noise image pixels into quasi-noise point and signal point,meanwhile,to establish the noise matrix,and then to apply the image edge features and local statistical information to further clarify the noise points.For the noise point,its pixels value will be replaced by the median value of pixel set which include the center point and every median of sub-window around center point.Simulation experiment results show that the algorithm has better denoising ability against high-density salt and pepper noise pollution image,and maintains image detail effectively.