A multi-focus image fusion algorithm in 5G communications

被引：0
|
作者：
Jianguo Sun
Wenshan Wang
Kejia Zhang
Liguo Zhang
Yun Lin
Qilong Han
Qingan Da
Liang Kou
机构：
[1] Harbin Engineering University,College of Computer Science and Technology
[2] Harbin Engineering University,College of Information And Communication Engineering
来源：
Multimedia Tools and Applications | 2019年 / 78卷
关键词：
5G network; Cloud computing; Region mosaicking; Contrast pyramids; Multi-focus images fusion;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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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页码：28537 / 28556
页数：19
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