Multifocus image fusion based on difference between anisotropic diffusion and Gaussian filter
各向异性扩散与高斯差分模型的多聚焦图像融合方法

Regarding the characteristics of the anisotropic diffusion model, an efficient multi focus image fusion method is proposed using a rule of difference coefficients between anisotropic diffusion model and Gaussian filter. Anisotropic diffusion equation is used to filter an image depending on local properties of the image.The image is smoothed in the homogenous areas while image features are preserved effectively on edges. The resulting fused image is composed of adaptive pixels which are chosen directly from the corresponding original images according to a selection rule of high pass coefficients. Those high pass coefficients are provided by accumulated values over a square sliding window using difference images between anisotropic diffusion model and Gaussian filter. Experimental results demonstrate that the proposed fusion algorithm is very suitable for image fusion of multi focus images.