Aiming at the problem of artifacts in the convergence of object edges in multi-focus images fusion, a multi-focus images fusion algorithm is proposed based on non-subsampled Contourlet transform(NSCT) and guided filtering, by which the multi-focus images are decomposed. For the sub-band coefficients of low-frequency, an edge-based weighted fusion scheme is adopted, while, for sub-band coefficients of band-pass directional, bidirectional Laplacian filtering is utilized to extract edge and significant information. Meanwhile, the guided filter is used to correct initial fusion weigh, and NSCT reconstruction is performed to obtain fused multi-focus image. The experimental results show that, compared with seven other fusion algorithms, the proposed algorithm can improve richness and clarity of fusion image, avoid artifacts at objects edge, and improve the fused image′s general quality.