高精度高动态红外图像具有对比度低和有效灰度范围窄的特点，因此为了提高红外图像细节纹理的显著性，避免空域处理中噪声和盲元对弱对比度细节纹理的影响，同时利用频域处理的全局性，提出了一种基于空域和频域处理的红外图像细节增强算法。首先在空域内对红外图像进行高频细节和低频背景的分离，然后将其转换到频域内并利用伽玛变换对细节的高频分量进行增强，同时对背景的高频分量进行抑制；将处理后的高频细节和低频背景在空域中以给定的权重值进行重建；最后利用直方图统计拉伸处理实现红外图像有效灰度范围的扩展和细节对比度的增强。实验结果表明，不论是人眼的主观评价还是客观评价，本算法都具有较强的细节增强能力和较佳的图像视觉表现，且具有实时处理的前景。

The high dynamic range (HDR) infrared image has the characteristics of low contrast and narrow active grayscale range. In order to enhance the image details, as well as take advantage of the global feature of frequency processing, in this paper the infrared image detail enhancement based on the spatial and frequency domain (SFDE) is presented. First, the high-frequency details and the low-frequency background of the image are separated in the spatial domain and then they are both Fourier transformed into the frequency domain. By using the gamma correction, the details representing the interesting high-frequency texture are enhanced, while the high frequency of the background is suppressed at the same time. The processed details and background are recombined in the spatial domain with respect to the weights to obtain the detail-enhanced image that fits the human perception after by using the proposed histogram statistical stretching (HSS). The experiments in this paper show that the subjective and objective evaluations both approve the effectiveness and optimal performance of the proposed algorithm for the perfect detail enhancement, and it is also capable of real-time processing.