高动态范围的红外图像压缩和细节增强有利于提高人眼获取图像中关键细节信息的能力。因此，它是红外成像的重要研究课题之一。针对传统的全局色阶重建不能最优呈现红外图像细节层和基础层的问题，设计了对红外图像局部进行色阶重建的方案，并提出了一种基于超像素分割的红外图像动态范围压缩和细节增强方法。该方法首先采用超像素分割算法将原始红外图像分割成多个自相似子区域，然后对各个子区域进行压缩和细节增强。实验结果表明，该方法可以更有效地压缩和增强红外图像，在高动态范围压缩图像的同时能很好地保留原始图像的细节信息。

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, compressionand 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.