To solve the problems of unclear edge details and low overall contrast of infrared images, an adaptive histogram equalization algorithm combining single parameter homomorphic filtering and limited contrast is proposed. First, the image is processed based on homomorphic filtering with single parameter, and a transfer function with single parameter is studied to make the homomorphic filtering algorithm parameters controllable and independent of experimental experience, while significantly enhancing the details of infrared images. Then, the adaptive histogram equalization with limited contrast is used to adjust the dynamic range of the infrared image to improve the contrast of the infrared image. The simulation results show that the algorithm can significantly enhance the image details, improve the image contrast, and make the infrared image more conducive to subsequent observation.