An image fusion algorithm is proposed based on shearlet transform and improved Pulse Coupled Neural Networks(PCNN).Firstly,two registered original images are decomposed by shearlet transform,thus the low frequency subband coefficients and high frequency subband coefficients can be obtained.Secondly,the fusion principle of the low frequency subband coefficients is based on the traditional method of weighted average.As for the high frequency subband coefficients,we present an algorithm which employ the improved laplacian energy as the link intensity of PCNN.The experimental results show that the proposed algorithm outperforms Nonsubsampled Contourlet Transform(NSCT),and it takes less time than NSCT.
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王朝晖,王佳琪,赵德功,付伟.基于Shearlet与改进PCNN的图像融合[J].激光与红外,2012,42(2):213~216 WANG Zhao-hui, WANG Jia-qi, ZHAO De-gong, FU Wei. Image fusion based on Shearlet and improved PCNN[J]. LASER & INFRARED,2012,42(2):213~216