An Efficient Approach Technique for Dynamical Infrared/Visible Images Fusion

O. Demuynck, J. Lázaro
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Abstract

In this paper, we present a novel approach for a real time dynamical infrared/visible images fusion. The advantage of the proposed system compared with previous studies are its huge flexibility and probably lowest cost, since that it only employ both an infrared and a conventional visible cameras. A lot of external applications like security, surveillance..., etc. need this kind of alternative to complete the visible information in some cases like a sudden illumination variation from a bright image to an almost dark situation, or a foggy or smoked environment, where usual computer vision algorithm are not robust anymore. In all those cases, the further image treatments depending on the application are not detailed in this paper, since we just focus this study on the way to make both images fitting in a resulting image and to render the image for a user to easily observe a warm area. We describe in the following paragraphs each step of this treatment, and show the results of this image fusion.
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一种有效的红外/可见光动态图像融合方法
本文提出了一种实时动态红外/可见光图像融合的新方法。与以前的研究相比,该系统的优势在于其巨大的灵活性和可能的最低成本,因为它只使用红外和传统的可见光相机。很多外部应用,比如安全、监控……在某些情况下,例如从明亮的图像到几乎黑暗的情况下,或者在雾蒙蒙或烟雾弥漫的环境中,通常的计算机视觉算法不再具有鲁棒性,因此需要这种替代来完成可见信息。在所有这些情况下,根据应用程序的进一步图像处理在本文中没有详细说明,因为我们只关注如何使两个图像都适合最终图像,并使图像呈现给用户以方便地观察温暖区域。我们在接下来的段落中描述了这种处理的每一步,并展示了这种图像融合的结果。
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