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Technique for multi-focus image fusion based on fuzzy-adaptive pulse-coupled neural network

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Abstract

Multi-focus image fusion technique can solve the problem that not all the targets in an image are clear in case of imaging in the same scene. In this paper, a novel multi-focus image fusion technique is presented, which is developed by using the nonsubsampled contourlet transform (NSCT) and a proposed fuzzy logic based adaptive pulse-coupled neural network (PCNN) model. In our method, sum-modified Laplacian (SML) is calculated as the motivation for PCNN neurons in NSCT domain. Since the linking strength plays an important role in PCNN, we propose an adaptively fuzzy way to determine it by computing each coefficient’s importance relative to the surrounding coefficients. Combined with human visual perception characteristics, the fuzzy membership value is employed to automatically achieve the degree of importance of each coefficient, which is utilized as the linking strength in PCNN model. Experimental results on simulated and real multi-focus images show that the proposed technique has a superior performance to series of exist fusion methods.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (Nos. 61262034, 61462031, 61473221 and 61662026); Natural Science Foundation of Jiangxi Province (Nos. 20151BAB207033 and 20161ACB21015); Project of the Education Department of Jiangxi Province (Nos. KJLD14031, GJJ150461 and GJJ150438).

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Authors and Affiliations

  1. School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, 330032, China

    Yong Yang & Yue Que

  2. School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, 330032, China

    Shu-Ying Huang

  3. Institute of Biomedical Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

    Pan Lin

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  1. Yong Yang
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  2. Yue Que
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  3. Shu-Ying Huang
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  4. Pan Lin
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Correspondence to Shu-Ying Huang.

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Yang, Y., Que, Y., Huang, SY. et al. Technique for multi-focus image fusion based on fuzzy-adaptive pulse-coupled neural network. SIViP 11, 439–446 (2017). https://doi.org/10.1007/s11760-016-0979-1

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  • DOI: https://doi.org/10.1007/s11760-016-0979-1

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