Infrared image enhancement can improve the details and contrast in the image, and make the target more clearly visible in the image, which is of great significance to the task of target detection and recognition in infrared images. Therefore, an infrared image enhancement method based on feature weighted fusion is proposed. Firstly, the contrast and edge details of infrared image are analyzed, and the denoising pretreatment of infrared image is carried out by combining spectral feature fusion method. After extracting the regional gradient features of the denoised infrared image, the extracted specific image features are weighted and fused, and the weighted and fused infrared image features are tone mapped by Retinex algorithm to realize the final infrared image enhancement processing. Taking mean square error, peak signal-to-noise ratio and structural similarity as experimental test indicators, the results show that the MSE, PSNR and SSIM of this method are 0.603%, 49.11 dB and 0.988 respectively. It is proved that this method can enhance the infrared image and has certain application value.