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《Transducer and Microsystem Technologies》 2008-12
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Infrared and visible image fusion technology based on non-subsampled contourlet transform

LIN Yu-chi,ZHOU Xin,SONG Le,HUANG Yin-guo(State Key Laboratory of Precision Measuring Technology and Instruments,Tianjin University,Tianjin 300072,China)  
An infrared and visible image fusion algorithm based on the non-subsampled Contourlet transform(NSCT)is provided.Getting the mean of the low frequency coefficients,choosing the maximum value of the highest level's coefficients from the high frequency coefficients,applying the local variance maximum principle to other resolution level's coefficients,the fused image after the inverse transforming the fusion coefficients can be thereby got.The experiment indicates that the fusion algorithm can extract the original image features better.The fused image's representation capacity in spatial detail information is also improved,via combing the advantages of the multi-resolution,multi-direction and translation invariance of the NSCT.Compared with the traditional fusion algorithms,the fusion algorithm provides better subjective visual effect,and the standard deviation and entropy value would be somewhat increased.
【CateGory Index】: TP391.41
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