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基于Contourlet变换和IPCNN的融合算法及其在可见光与红外线图像融合中的应用

Keywords: 图像融合,Contourlet变换,脉冲耦合神经网络,红外线图像,Contourlet,变换,融合算法,可见光,红外线,多传感器图像融合,应用,PULSECOUPLEDNEURALNETWORK,IMPROVED,CONTOURLETTRANSFORM,BASED,ALGORITHM,IMAGEFUSION,仿真结果,融合效果,策略设计,激发特性,同步,信息,稀疏分解

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Abstract:

针对多传感器图像融合这一图像处理领域中的研究热点问题,提出了一种基于Contourlet变换和IPCNN的融合方法.该融合方法首先利用Contourlet对输入图像进行多尺度、多方向稀疏分解,准确地捕获图像中的二维或高维奇异信息,然后在Contourlet域充分利用IPCNN的同步激发特性,进行基于IPCNN的融合策略设计,提高了融合效果.仿真结果表明,该算法具有很好的融合效果.

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