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Multi-focus images fusion via residual generative adversarial network |
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| Authors: | Mao Qingyu Yang Xiaomin Zhang Rongzhu Jeon Gwanggil Hussain Farhan Liu Kai |
| Affiliation: | 1.College of Electronics and Information Engineering, Sichuan University, Sichuan, Chengdu, 610064, China ;2.School of Aeronautics and Astronautics, Sichuan University, Chengdu, Sichuan, 610064, China ;3.School of Electronic Engineering, Xidian University, Xi’an, 710071, China ;4.Department of Embedded Systems Engineering, Incheon National University, Incheon, 22012, South Korea ;5.College of Electrical and Mechanical Engineering, National University of Science and Information Technology, Islamabad, 44000, Pakistan ;6.College of Electrical Engineering, Sichuan University, Sichuan, Chengdu, 610064, China ; |
| Abstract: | Multimedia Tools and Applications - Recently, most existing learning-based fusion methods are not fully end-to-end, which still predict the decision map and recover the fused image by the refined... |
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