针对红外与可见光彩色融合图像中目标与背景间的低对比度的问题，提出一种基于HSI空间颜色对比度增强的红外和可见光图像融合方法。首先对输入的可见光与红外图像进行直方图均衡和中值滤波加强处理，然后对加强的红外图像模糊阈值分割得到红外目标，最后把分割的红外目标图像和加强的可见光和红外图像在HSI空间的三通道线性融合和色彩传递，为了增强目标与背景间的颜色对比度，在色彩传递阶段, H通道的色彩传递方程中引入一个比例因子。实验结果表明：与其他算法相比，该方法得到的彩色融合图像热目标和低温物体与背景间的颜色对比度明显加强,同时背景的细节信息呈现白天类似的自然彩色，更加符合人眼视觉感知。

Focus on color fusion for infrared and visible images with low contrast between target and background issues, a contrast enhancement method for infrared and visible image was presented based on HSI color space. Firstly, the contrast of infrared and visible images was enhanced using local histogram equalization and median filter, then the infrared target was extracted from the enhanced infrared image after fuzzy threshold segmentation. Finally, the two enhanced images and the segmentation infrared target were fused into the three components of a HSI image in terms of a simple linear fusion strategy and color transfer. To enhance the color contrast between the target and the background, a scaling factor was introduced into the transferring equation in the H channel during color transfer process. The experimental esults show that, compared with other algorithms, the color fusion images of hot target and color contrast between low temperature object and background abtained by the presented method enhance obviously. At the same time, the details of visible images are endowed with natural color similar to that of the light color images during the day, which is more confortable to the human′s visual perception.