Computer Science ›› 2017, Vol. 44 ›› Issue (3): 318-322.doi: 10.11896/j.issn.1002-137X.2017.03.064

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Multi-focus Image Fusion Using Adaptive Region and SCM Based on NSST Domain

ZHAO Jie, WEN Xin, LIU Suai-qi and ZHANG Yu   

  • Online:2018-11-13 Published:2018-11-13

Abstract: In order to improve the fusion effect of multi-focus image,combined with the shared similarity among multiple source images,a new image fusion algorithm based on adaptive regions and spiking cortical model (SCM) of nonsubsampled shearlet transform (NSST) domain was proposed.First,NSST is utilized for decomposition of the source images.Then by calculating the energy of edge(EOE),the low frequency coefficients are fused by weight votes in adaptive regions.And the high frequency coefficients is fused by fired map of SCM which is motivated by EOE.Finally the fusion image is gained by inverse NSST.The algorithm can both preserve the information of the source images well and suppress pixel distortion due to nonlinear operations in transform domain.Experimental results demonstrate that the proposed method outperforms the state-of-the-art transform domain and pulse coupled neural network (PCNN) fusion methods.

Key words: Image fusion,NSST,Shared similarity,Adaptive region,SCM,EOE

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