The compression and detail enhancement of infrared images in high dynamic range is helpful to the improvement of the ability of human eyes to obtain key detail information in images. Therefore, it is one of the important research topics in the field of infrared imaging. To solve the problem that the traditional global tone reproduction can not present the detail layer and base layer properly, a scheme for local tone reproduction of infrared images is designed and a method for dynamic range compression and detail enhancement of infrared images based on superpixel segmentation is proposed. Firstly, the superpixel segmentation algorithm is used to segment an original infrared image into multiple self-similar subregions. Then, compression and detail enhancement are implemented for each subregion. The experimental results show that the method can compress and enhance infrared images in high dynamic range more effectively. Moreover, it can preserve the detail information of original images well while compressing images in high dynamic range.