目标增强的红外与微光图像融合算法

Fusion algorithm of target enhancing infrared and low-level-light image

对于红外与微光图像融合,虽给为观察者提供了更多的图像信息,但是同时由于过多的背景信息反而掩盖了重要的目标信息,为了兼顾背景信息丰富和增强目标的需求,提出了一种新的目标增强的融合算法,首先改进了传统的顶帽变换算法,用来增强红外图像的目标信息,同时去除一些冗余的红外背景信息,然后利用人眼对颜色的敏感特性,将微光图像与红外图像通过色彩映射公式映射到相应的色彩空间进行融合,结果显示,该算法不但能提供丰富背景信息,同时也增强了重要的目标信息。

The fusion of infrared （IR） and low-level-light （LLL） image offers observers more image information, but it also covers up some target information because of too much background details. To match abundant background information with target enhancement, a kind of imaging fusion algorithm was proposed in the paper. It improved the algorithm on top-hat transformation to enlarge the target information of infrared image, and meanwhile removed some redundant background details. Considering eyes′ sensitivity to color, it mapped LLL and IR image into color space with color mapping formula, and then fused. The result shows this algorithm not only enriches background details, but also enhances the important target information.