基于红外与可见光图像融合技术发展与性能评价

红外图像可以全天候且不受光照条件影响的根据目标和背景热辐射差异来区分目标和背景。可见光图像可以通过人的视觉系统的高空间分辨率和清晰度来提供景物的质地和结构细节。因此将红外图像和可见光图像融合可以结合两种图像优势,融合后的图像效果预期良好。本文对传统经典方法和目前较新融合方法进行综述。首先回顾了红外和可见光图像的融合方法,其次选取了一些融合图像的性能评价指标,然后选择具有代表性的具体算法进行图像融合,根据融合图像结果获取评测指标,最后根据指标进行分析并对现状进行总结讨论,及对以后的工作发展方向进行展望。

Development and performance evaluation of infrared and visual image fusion technology

Infrared images can distinguish the target from the background according to their different radiation,no matter the condition of the weather and light.Visible images can provide texture and structural details of scenes through the high spatial resolution and sharpness of human visual system.Therefore,the fusion of infrared image and visible image can combine the advantages of the two kinds of images,and the image effect after fusion is expected to be good.Firstly,the traditional and new fusion methods are reviewed in this paper.Secondly,some evaluation indicators of fused images are selected,and then representative algorithms are selected for image fusion,and evaluation indicators are obtained according to the results of fused images.Finally,according to the analysis of indicators the status quo is summarized and discussed,and the future work is prospected.