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A Modular Fusion Method Based on Edge Optimization Infrared and Visible Image

XU Ling-zhang;YUN Li-jun;SHI Jun-sheng;LI Cheng-li;Color & Image Vision Lab,Yunnan Normal University;College of Information,Yunnan Normal University;  
To deal with the problem of low contrast and image fuzzy in the fusion processing for infrared and visible image,a modular fusion method based on edge optimization infrared and visible image is proposed.Firstly,the infrared image is enhanced by the local contrast adaptive method,and highlighted the target of the infrared image;then,the infrared image and visible image is transformed separately by the color space of HSV,in the obtained intensity components,two of them are fused by the modular fusion rule of edge details enhancement,further highlighted the infrared image of the target profile;Finally,combining the hue and saturation of visible image,new intensity component are transformed into the RGB color space,and obtained the fusion image.By subjective evaluation and objective evaluation standard,experiment results show that the results of this fusion algorithm are better than the simple weighted average algorithm and wavelet fusion algorithm,which can reserve the original image details and target information,and also improve greatly the contrast and resolution of the image.
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