基于无下采样小波-Contourlet变换的图像融合算法
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Image Fusion Based on Nonsubsampled Wavelet-contourlet Transform
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    摘要:

    针对目前最新发展的无下采样Contourlet变换,同时具有方向性、各向异性和平移不变性的特点,并结合多孔小波变换的优点,提出了一种新的基于无下采样小波-Contourlet变换图像融合算法。通过对航空图像进行无下采样小波-Contourlet变换的多分辨分解得到高频和低频系数,并根据不同分解面的系数特性,采用不同的加权融合规则进行融合。实验结果表明,此方法相对于传统的变换法,取得了更佳的融合结果。

    Abstract:

    A novel method of image fusion based on the nonsubsampled wavelet-contourlet transform is proposed,combined with the merit of à trous transform,based on the recently developed nonsubsampled contourlet transform,which can offer a trait of flexible multiscale and shift-invariant simultaneity. The high and low frequency-coefficients are obtained by decompose the aeronautic image with the nonsubsampled wavelet-contourlet transformation. Then,according to the different coefficient characters,these coefficients are syncretized by using different fusion algorithms of weighted average. The experimental results show that the new method makes a better fusion result compared with the traditional transform methods.

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引用本文

王连庆,安锦文.基于无下采样小波-Contourlet变换的图像融合算法[J].激光与红外,2008,38(2):191~194
WANG Lian-qing, AN Jin-wen. Image Fusion Based on Nonsubsampled Wavelet-contourlet Transform[J]. LASER & INFRARED,2008,38(2):191~194

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