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New well-posed model and classified diffusion

Li Yanbao1,Jiang Guangfeng1,Wang Zhiqiang2,Liu Wei2 1.School of Science,Beijing University of Chemical Technology,Beijing 100029,China; 2.Academy of Opto-Electronics,Chinese Academy of Sciences,Beijing 100190,China  
A posed model and a new diffusion method are introduced.After analyzing the diffusion coefficient function of the PeronaMalik(PM) model,We found that it is too sensitive at edges,which is the main reason for the PM model's ill-posing.Doing some amendments to the function,we got a posed anisotropic diffusion model.Our new model has a better form for double diffusions and filter factors,which the ill-posed models don't have.We divided the model into two different modules:a smoothing module and a denoising module.The two modules separate the operations of smoothing and denoising.As a result,Our new method can improve the impression of smoothness and reduce the noise remove.Our experiments on real images show that the proposed algorithm outperforms many typical image diffusion algorithms on visual effects.
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