基于分数阶傅里叶变换的图像融合方法

2013 6th International Congress on Image and Signal Processing (CISP) Pub Date : 2013-12-01 DOI:10.1109/CISP.2013.6745305

Gaoli Sang, Ying Cai, Hailong Jing, Shibin Xuan

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引用次数: 5

摘要

提出了一种新的基于分数阶傅里叶变换的图像融合方法。对所有源图像进行分数阶傅里叶变换分解，自适应选择分数阶。它很好地解决了以往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的融合特别有效，而且对红外和可见光图像的融合也有很好的效果。

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A fractional Fourier transform based method of image fusion

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.

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2013 6th International Congress on Image and Signal Processing (CISP)

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