Changchun Institute of Optics,Fine Mechanics and Physics,CAS
Infrared and Visible Image Fusion with a Generative Adversarial Network and a Residual Network | |
D. D. Xu,Y. C. Wang,S. Y. Xu,K. G. Zhu,N. Zhang and X. Zhang | |
2020 | |
发表期刊 | Applied Sciences-Basel |
卷号 | 10期号:2页码:22 |
摘要 | Infrared and visible image fusion can obtain combined images with salient hidden objectives and abundant visible details simultaneously. In this paper, we propose a novel method for infrared and visible image fusion with a deep learning framework based on a generative adversarial network (GAN) and a residual network (ResNet). The fusion is accomplished with an adversarial game and directed by the unique loss functions. The generator with residual blocks and skip connections can extract deep features of source image pairs and generate an elementary fused image with infrared thermal radiation information and visible texture information, and more details in visible images are added to the final images through the discriminator. It is unnecessary to design the activity level measurements and fusion rules manually, which are now implemented automatically. Also, there are no complicated multi-scale transforms in this method, so the computational cost and complexity can be reduced. Experiment results demonstrate that the proposed method eventually gets desirable images, achieving better performance in objective assessment and visual quality compared with nine representative infrared and visible image fusion methods. |
DOI | 10.3390/app10020554 |
URL | 查看原文 |
收录类别 | SCI |
语种 | 英语 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ciomp.ac.cn/handle/181722/64615 |
专题 | 中国科学院长春光学精密机械与物理研究所 |
推荐引用方式 GB/T 7714 | D. D. Xu,Y. C. Wang,S. Y. Xu,K. G. Zhu,N. Zhang and X. Zhang. Infrared and Visible Image Fusion with a Generative Adversarial Network and a Residual Network[J]. Applied Sciences-Basel,2020,10(2):22. |
APA | D. D. Xu,Y. C. Wang,S. Y. Xu,K. G. Zhu,N. Zhang and X. Zhang.(2020).Infrared and Visible Image Fusion with a Generative Adversarial Network and a Residual Network.Applied Sciences-Basel,10(2),22. |
MLA | D. D. Xu,Y. C. Wang,S. Y. Xu,K. G. Zhu,N. Zhang and X. Zhang."Infrared and Visible Image Fusion with a Generative Adversarial Network and a Residual Network".Applied Sciences-Basel 10.2(2020):22. |
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Xu-2020-Infrared and(9240KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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