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Fusion of Infrared and Visible-Light Videos Using Motion-Compensated Temporal Sub-Band Decompositions

机译:使用运动补偿的时间子带分解来融合红外和可见光视频

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The fusion of visible-light and infrared videos has applications in several areas, and is an active research topic. To this end, it is common to employ complex fusion methods that take into account spatial and/or temporal information in the videos. In this paper we propose a video fusion method that is based on a motion-compensated, two-band temporal sub-band decomposition. The alignment provided by the motion vectors, besides providing a reduction in the registration errors of the input images, allows the use of a simple fusion rule to the temporal sub-bands. The results indicate that the use of the proposed exploration of the temporal information alone is quite effective, and gives objective fusion quality results that compare favorably to more sophisticated methods based on complete spatiotemporal information.
机译:可见光和红外视频的融合在多个领域都有应用,并且是一个活跃的研究主题。为此,通常采用考虑视频中的空间和/或时间信息的复杂融合方法。在本文中,我们提出了一种基于运动补偿的两波段时间子波段分解的视频融合方法。由运动矢量提供的对准,除了提供输入图像的配准误差的减小之外,还允许对时间子带使用简单的融合规则。结果表明,单独使用建议的时间信息探索是非常有效的,并且可以提供客观的融合质量结果,与基于完全时空信息的更复杂的方法相比,它们具有优势。

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