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- W2348906944 abstract "Curvelet has the ability of acquiring high dimension singularity of image.Utilizing this characteristic,an algorithm of image fusion based on Pulse Coupled Neural Networks(PCNN)and optimization of evaluated rule in curvelet domain is proposed.By using curvelet transform,the input images are decomposed into sub-images with various scales.Then,based on the global coupled character of PCNN,a fusion rule is given and the high frequency fused coefficients can be generated by the rule.After that,the low frequency fused coefficients can be generated by optimization of some evaluated rules and the fused image is obtained by inverse curvelet transform.Its validity and advantage are shown by experimental results and the analysis of comparing with other algorithms." @default.
- W2348906944 created "2016-06-24" @default.
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- W2348906944 date "2012-01-01" @default.
- W2348906944 modified "2023-09-28" @default.
- W2348906944 title "Image fusion in curvelet domain based on pulse coupled neural networks and optimization of evaluated rule" @default.
- W2348906944 hasPublicationYear "2012" @default.
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