Most multi-focus image fusion algorithms are either based on the assumption that the source images are noise free，or resulting in destroying the fine edge features when filtering in high frequency sub-bands.In order to overcome the disadvantages，a multi-focus image fusion algorithm based on edge-preserving filtering is presented.Firstly，an energy function with denoising and image fusion is set up by using inherently anisotropy of the local fine features.Then an iterative solution for the energy function is derived via the fusion rule of weighted averaging.Experimental results show that the algorithm produces less residual noise and has a higher SSIM and better visual image fusion quality.