In order to measure effectively the area of focus in a multi-focus im age,a novel multi-focus image fusion algorithm based on edge and multi-feature selection is proposed in this paper.Two registered original images are decomposed using non-subsampled Contarlet transform (NSCT) separately,and the selection principle of the low frequency subband coefficients is based on edges of images.For the high frequency subband coefficients,the prominent features are extracted through Laplace energy sum,region energy and v ariance,and a novel high frequency fusion strategy based on multi-feature selection is proposed.This fu sion strategy can comprehensively consider the contribution of regional features and select promin ent features and fusion methods adaptively.Finally,the fused image is obtained by performing inverse N SCT on the combined coefficients.Compared with common fusion rules,experimental results show that the fusion rule proposed in this paper preserves edges and the details of original images well.Objectively, fusion image of the new fusion rule is more superior in the objective evaluation index,such as mutual i nformation,edge preserving degree,entropy,structural similarity and the standard deviation.