Aiming at the fusion quality problem of image fusion,four parameters o f pulse coupled neural networks (PCNN) model are set adopting fruit fly optimization algorithm (FOA),an d an image fusion method combining optimized PCNN and multi-scale transform is presented.Firstly,two r egistered original images are decomposed using four kinds of multi-scale transform separately.The selection p rinciple of the low frequency component is the improved fusion method based on PCNN and FOA.The selection principle of the hig h frequency component is absolute maximum principle.Finally,the fused image is obtained by performing in verse multi-scale transform on the combined coefficients.subjectively,the new fusion rule not only preserves the de tails of original images well,but also improves the quality of fusion image,objectively,fusion image of the new fusion rule is mor e superior in the objective evaluation indices,such as mutual information (MI),edge preserving degree,entropy,mean structural similarity (MSSIM) and the standard deviation (SD).