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An Improved Fusion Algorithm of Video Sequences Based on IR and Visible

机译:基于红外和可见光的视频序列融合改进算法

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For the optimal weighted coefficients of per frame fused video sequences image are variable, the method of PCA is applied to automatic adaptive selecting the weighted coefficients of the low frequency layers which are decomposed by the Laplace pyramid. For the sake of enhancing the video image contrast, a partial contrast method based on the fusion formula of the high frequency layers of Laplace pyramid is presented in this paper. Finally, some measures are presented to enhance the fused video effect based on the characteristic of each layer of the Laplace pyramid. Experimental results show that our method is effective.
机译:由于每帧融合视频序列图像的最佳加权系数是可变的,因此将PCA方法应用于自动自适应选择由拉普拉斯金字塔分解的低频层的加权系数。为了增强视频图像的对比度,提出了一种基于拉普拉斯金字塔高频层融合公式的局部对比度方法。最后,根据拉普拉斯金字塔各层的特性,提出了一些措施来增强融合视频效果。实验结果表明,该方法是有效的。

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