各向异性扩散与高斯差分模型的多聚焦图像融合方法

利用各向异性扩散模型具有良好的边缘保持特性,提出一种基于各向异性扩散滤波与高斯滤波差分规则的图像融合算法。各向异性扩散方程对图像进行滤波操作,在图像的同质区域实施正向扩散以平滑图像,而在图像边缘实行较弱平滑以保护边缘细节信息。将通过各向异性扩散模型处理的图像与经过高斯函数滤波的结果图像进行差分操作,可以得到图像的高频系数信息。为提高健壮性,对高频系数进行小窗口累加,其作为像素选择准则,再分别从原始图像中直接获取对应的像素值组成融合结果图像。实验结果表明,所提出的方法可以有效地融合源图像信息,非常适合多聚焦

Multifocus image fusion based on difference between anisotropic diffusion and Gaussian filter

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.