MRF image denoising based on fuzzy classification
Xingshi He, Geng Lianying, Feiyue He, Min Wu · 2011
The methods of smooth region and edge region is identity using Markov random fields (MRF), which leads to a lot of redundant operate and too long running time. This paper presents MRF image denoising method based on fuzzy classification, firstly,image subblock can be fuzzy classified according to its different statistical characteristics, then the image can be restored by models with different prior energy function. Finally, the blurred natural image is restored by this method and the experiment results show that the method is valid.