To improve the visualization effect and enhance the local detail information of an image, a tone-mapping method that combines guided filtering and nonlinear second-order features was proposed. First, the luminance information of an input image was extracted and the luminance image was decomposed by a multi-scale using a guide filter to obtain a base layer and a detail layer image. Second, a weighting map of the detail layer was constructed by the guided filtering method, a nonlinear second-order feature was constructed using a Hessian matrix for the basic layer, and a weight map of the basic layer was constructed using the guided filtering method. Finally, the basic graph was decomposed according to the weight map. The layer and detail layer images implement reconstruction of the luminance image and then restore the color information of the luminance image to obtain the final resulting image. Experimental results show that the method preserves the local detail information of the source image and has a good visual effect. In this study, the Hessian matrix is used to extract the high-frequency information of the base-layer image, which can more effectively highlight the edge information and enrich the detail features of the image. Compared with the objective index of the comparison algorithm, the quality score of the method, the structural fidelity, and the natural similarity are increased by 11.28%, 10.82%, and 186.46%, respectively.