Abstract:

To remove speckle effect produced by the mean curvature model, we propose an iterative image denosing algorithm, which combines the mean curvature model and the relaxed median filter. Firstly, we denoise the image by the mean curvature model. Then the speckle noise is located using a threshold according to the variance of the image. Finally the relaxed median filter is introduced. To remove the speckle noise more efficiently, the filter is applied at every iteration step. Denoising simulations on curves and images show that the proposed algorithm has better denoising effect in terms of objective indicators and subjective visual effect, as well as lower time complexity in comparison with the mean curvature model.Key words

Key words: image denoising;partial differential equation;mean curvature;relaxed median filter;speckle effect