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A multi-focus image fusion algorithm in 5G communications

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Abstract

In this paper, we first build a mobile cloud platform that users can upload multi-focus images or download full-focus images through the 5G network. Then we design a method named Region Mosaicking on Contrast Pyramid (RMCP) for image fusion on the cloud platform. In the RMCP method, we apply the Sum-Modified-Laplacian to measure the focus of the multi-focus image, and use the density-based region growth algorithm to segment the focus region mask for each image. Finally, the mask is decomposed into a mask pyramid to monitor the mosaic region of the contrast pyramid. The experimental results show that RMCP based on 5G network outperforms other methods. In addition, RMCP is suitable for mobile devices.

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Acknowledgements

This work was supported by project of NSFC of China (61472096, 61771154, 61501132, 61370084, 61202455, 61301095), China Postdoctoral Science Foundation (2016M591515).

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Authors and Affiliations

  1. College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China

    Jianguo Sun, Wenshan Wang, Kejia Zhang, Liguo Zhang, Qilong Han, Qingan Da & Liang Kou

  2. College of Information And Communication Engineering, Harbin Engineering University, Harbin, 150001, China

    Yun Lin

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  1. Jianguo Sun
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  2. Wenshan Wang
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  3. Kejia Zhang
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  4. Liguo Zhang
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  5. Yun Lin
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  6. Qilong Han
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  7. Qingan Da
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  8. Liang Kou
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Correspondence to Yun Lin.

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Sun, J., Wang, W., Zhang, K. et al. A multi-focus image fusion algorithm in 5G communications. Multimed Tools Appl 78, 28537–28556 (2019). https://doi.org/10.1007/s11042-018-5790-2

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  • DOI: https://doi.org/10.1007/s11042-018-5790-2

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