In the process of infrared image processing, it is particularly important to improve the contrast of the image, suppress noise and highlight the details of the image. In response to these problems, infrared image enhancement algorithm based on feature fusion is proposed. First, the image is smoothly layered based on guided filtering to obtain the basic layer and the detail layer. The basic layer uses the CLAHE algorithm to extend the range of low-frequency components, and the detail layer uses the Log operator and the Laplace operator to process separately, according to the gradient factor the weight information is used to obtain the fusion detail layer, and then Gamma correction based on the gradient factor is used to suppress the enhancement of the brighter area of the detail layer to prevent over-enhancement, after obtaining the enhanced basic layer and the detail layer, image fusion is performed according to the detailed feature information, and the experimental results are obtained . Through the analysis of the results of different infrared scenes, the proposed algorithm achieves the effect of enhancing edges and suppressing noise.