| Infrared and Visible Image Fusion Based on Blur Suppression Generative Adversarial Network |
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| 作者姓名： | YI Shi LIU Xi LI Li CHENG Xinghao WANG Cheng |
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| 作者单位： | College of Mechanical and Electrical Engineering, Chengdu University of Technology |
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| 基金项目： | Sichuan Science and Technology Program (2020YFG0458)； |
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| 摘 要： | The key to multi-sensor image fusion is the fusion of infrared and visible images. Fusion of infrared and visible images with generative adversarial network(GAN) has great advantages in automatic feature extraction and subjective vision improvement. Due to different principle between infrared and visible imaging, the blur phenomenon of edge and texture is caused in the fusion result of GAN. For this purpose, this paper conducts a novel generative adversarial network with blur suppression. Specif...
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