In the study of autofocus technology, we propose an image fusion method based on saliency analysis, which can solve the problem of all in focus. First, the focal area in the source image is positioned by the graph-based visual saliency (GBVS) algorithm, and then the watershed and morphological methods are used to obtain the closed area of the saliency graph and the pseudo-focus region is removed. The defocused region is processed by the Shearlet transform, and the SML operator is used to choose the fusion parts. Finally, the precise focused region and the processed defocused region are fused into an all in focus image. Experiments show that the fused image of our method is clear and rich in detail, which has the best visual effect, and improves more than 5% in definition and fusion compared with traditional methods.