CAJ | 학술논문

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。
대우홍외여미광도상융합，수급위관찰자제공료경다적도상신식，단시동시유우과다적배경신식반이엄개료중요적목표신식，위료겸고배경신식봉부화증강목표적수구，제출료일충신적목표증강적융합산법，수선개진료전통적정모변환산법，용래증강홍외도상적목표신식，동시거제일사용여적홍외배경신식，연후이용인안대안색적민감특성，장미광도상여홍외도상통과색채영사공식영사도상응적색채공간진행융합，결과현시，해산법불단능제공봉부배경신식，동시야증강료중요적목표신식。
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.