Infrared and Visible Image Fusion with a Generative Adversarial Network and a Residual Network

doi:10.3390/app10020554

CIOMP OpenIR

	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
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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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