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A fractional Fourier transform based method of image fusion

机译:基于分数阶傅里叶变换的图像融合方法

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In this paper, a new fractional Fourier transform-based image fusion method is proposed. All the source images are decomposed by fractional Fourier transform, and then the fractional order are select adaptively. It has well solved the poor adaptability of previous image fusion methods. The experiments show that this algorithm is particularly effective not only on the general images fusion, but also have a good effect for the infrared and visible images fusion.
机译:本文提出了一种新的基于分数阶傅里叶变换的图像融合方法。通过分数阶傅里叶变换分解所有源图像,然后自适应选择分数阶。它很好地解决了以前图像融合方法适应性差的问题。实验表明,该算法不仅对一般图像融合特别有效,而且对红外和可见光图像融合也有良好的效果。

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