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Multi-focus Image Fusion Method Based on NSST and IICM

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Advances in Internetworking, Data & Web Technologies (EIDWT 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 6))

Abstract

Multi-focus image fusion is a classic issue in the field of image processing. How to extract and fuse the in-focus information from the source images into the single one is the key to resolving the above problem. As a novel multi-resolution analysis tool, non-subsampled shearlet transform (NSST) not only has better information capturing ability, but also owns a comparatively lower computational complexity compared with non-subsampled contourlet transform (NSCT). Intersecting cortical model (ICM) is the third generation of artificial neural network, and it can be viewed as the improved version of pulse-coupled neural network. The superiority of ICM lies in that it has much fewer parameters and better function mechanism. In this paper, a novel method for multi-focus image fusion based on NSST and improved ICM is presented. On the one hand, NSST is responsible for decomposing source images and reconstructing sub-images. On the other hand, ICM is used to complete the coefficients selecting of sub-images. Experimental results demonstrate that the proposed method has better performance compared with the current typical ones.

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Acknowledgements

The authors thank all the reviewers and editors for their valuable comments and works. The work was supported in part by the National Natural Science Foundations of China under Grant 61309008 and 61309022, in part by Natural Science Foundation of Shannxi Province of China under Grant 2014JQ8349, in part by Foundation of Science and Technology on Information Assurance Laboratory under Grant KJ-15-102, and the Natural Science Foundations of the Engineering University of the Armed Police Force of China under Grant WJY-201414.

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Authors and Affiliations

  1. Department of Electronics Technology, Engineering University of Armed Police Force, Xi’an, 710086, China

    Yang Lei

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  1. Yang Lei
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Correspondence to Yang Lei .

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Editors and Affiliations

  1. Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. School of Computer Sciences, Hubei University of Technology, Wuhan, China

    Mingwu Zhang

  3. Department of Electronic Technology, Key, Engineering University of CAPF, Xi’an, Xizang, China

    Xu An Wang

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Lei, Y. (2018). Multi-focus Image Fusion Method Based on NSST and IICM. In: Barolli, L., Zhang, M., Wang, X. (eds) Advances in Internetworking, Data & Web Technologies. EIDWT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-59463-7_68

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  • DOI: https://doi.org/10.1007/978-3-319-59463-7_68

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-59463-7

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