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Focusing on the fusion problem of infrared and visible light images in the same scene, a novel multirsensor image fusion algorithm based on the non subsampled Shearlet transform was proposed. Firstly, the NSST was performed on the source images at different scales and directions, thus the low frequency subband coefficients and varieties of directional bandpass subband coefficients were obtained. Secondly, the low frequency subband coefficients of the fused image were selected based on the local structural similarity and local energy of the two source images, and the bandpass subband coefficients of the fused image were selected based on the firing times of the pulse coupled neural network(PCNN), so the NSST coefficients of fused image was got. Finally, the fused image was obtained by performing the inverse NSST on the combined coefficients. Quantitative and qualitative analysis of the experimental results demonstrated that the proposed method performs significantly better than the other five related methods.