基于方向导波增强的红外与可见光图像融合

Infrared and visible image fusion based on guided filtering enhancement

为提高融合图像的视觉效果,并解决可见光图像受光线、天气等影响而成像不清导致的夜视背景弱的问题,本文基于方向导波提出了一种可见光与红外线图像的融合方法。首先,利用方向导波对可见光图像的内容进行增强,然后,利用方向导波的多尺度分解将可见光和红外线图像进行分解后再分别合成为小尺度层、大尺度层和基础层。在大尺度层的信息合成的过程中利用视觉基础上的正则参数将红外线图像的信息加入到可见光图像中去;在基础层的融合过程中采用基于能量保护与细节提取的融合规则。最后,将大尺度层、小尺度层与基础层合并为融合后的图像。实验结果表明所给方法在提高夜视背景、细节处理、能量保护等方面都有良好的效果。

In order to improve the clarity of image fusion,and solve the problem that the image fusion effect is affected by the illumination and weather of visible light,a fusion method of infrared and visible based on Guided Filtering is proposed.Firstly,the content of the visible image is enhanced by Guided Filtering.Then,the visible and infrared images are decomposed by multi-scale decomposition of Guided Filtering,and then combined into small-scale layer,large scale layer and basic layer,respectively.In the process of information combination in large-scale layer,infrared image information is added to visible image by using regular parameters based on vision,and fusion rules based on energy protection and detail extraction are adopted in the process of fusion in basic layer.Finally,the large scale layer,small scale layer and base layer are combined into fused image.The experimental results show that the proposed method has good effects in improving night vision background,detail processing and energy protection.