In this paper, an infrared image enhancement algorithm based on an improved Laplacian pyramid is proposed to address the common issue of detail and edge texture loss during infrared image enhancement. Firstly, in constructing the Laplacian pyramid, Canny edge detection is incorporated into the existing difference operation to extract the base and detail layers of the image. Secondly, the γ-CLAHE algorithm is applied to improve contrast and brightness in the base layer, and the Laplacian operator is then used to further enhance edge textures in the detail layer. Lastly, the enhanced infrared image is reconstructed by combining the detail layer with the base layer. Experimental results demonstrate that compared to traditional methods such as Clahe algorithm, Gamma correction, and others, the proposed algorithm achieves a maximum increase of 5.34 in PSNR, 0.6 in SSIM, and 2.07 in entropy, which validates the algorithm's effectiveness in enhancing contrast, highlighting edge information, and preserving structural characteristics during infrared image enhancement.