Multi-kernel nonlinear diffusion model for denoising based on image decomposition
Zhengming Wang · Jisuanji gongcheng · 2005
A multi-kernel nonlinear diffusion model for image denoising based on image decomposition was studied, which got the major signal and the minutiae through different models. First,a edge-directed nonlinear diffusion model was put forward, which was used to get the major signal of image. Then P-M diffusion equation was used to get the high frequency signal of image from the remnant image. At last, the major signal and the minutiae were added to get the denoised image. The method can exert the merits of different models to get good results on the whole image. Simulation results show that, compared with the known methods, the model can remove noise more efficiently, keep edges more clearly, and it also has higher peak signal to noise ratio.