Infrared and visible image fusion can effectively compensate for the weakness of a single sensorand produce a fused image with better visual effect and higher definition.When designing the rules of fusing detail layers and base layers of two imagesthe fusion methods based on multi-scale decomposition often only consider single-scale information in detail layers and base layerswhich may lead to a lack of effective features in the fused image.To solve this problemthis paper proposes a novel fusion rule based on the random walk algorithm to fuse base layers and detail layers.This fusion rule estimates two saliency maps and obtains one of them with multi-scale information for the fusion of base layers and detail layerswhich can effectively fuse the multi-scale information in each layer into the output image.Thereforethe fused image is more beneficial for human-eye perception.