Abstract：Using the normal Priwitt operator as weights, two denoising models based on Partial Differential Equation (PDE), which integrated the Gauss curvature and mean curvature diffusion, were proposed for keeping important features effectively while removing noises. First, the normal Priwitt operator of the filtered image obtained by the Gauss filter from noise image was calculated; second, the proposed models adaptively obtain the balance between the Gauss curvature diffusion noise removal and the mean curvature diffusion noise removal, thus removing noises of image. The iterative schemes of the proposed models were presented by the difference method of PDE. Then some numerical experiments were carried out. Results of experiments show that the proposed models not only converge quickly, but also are better than the denoising model based on single curvature diffusion, and better maintain the image features.
2012, Vol. 32 
