<p>This paper proposes an infrared weak-texture image enhancement method based on guided filtering, LoG-CLAHE, and sigmoid-gamma correction. Guided filtering is first used to decompose the input image into base and detail layers. The base layer is enhanced by LoG-CLAHE to improve local contrast and edge-related details, while the detail layer is processed by sigmoid-gamma correction to strengthen weak texture responses. The two processed layers are then fused to obtain the enhanced image. Experiments on three outdoor infrared weak-texture scenes show that the proposed SGLC method improves local texture visibility and edge clarity. Compared with the selected methods, SGLC obtains the highest MLIE and AG values in the three scenarios, while its FCE values remain competitive. The results indicate that SGLC provides a balanced enhancement effect for the tested infrared weak-texture images.</p>