MJ-GAN: Generative Adversarial Network with Multi-Grained Feature Extraction and Joint Attention Fusion for Infrared and Visible Image Fusion.

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作者： Danqing,Yang ^[1] ; Xiaorui,Wang ^[1] ; Naibo,Zhu ^[2] ; Shuang,Li ^[2] ; Na,Hou ^[2]

作者单位： School of Optoelectronic Engineering, Xidian University, Xi'an 710071, China. ^[1] Research Institute of System Engineering, PLA Academy of Military Science, Beijing 100091, China. ^[2]

关键词 generative adversarial network (GAN)infrared and visible image fusion (IVIF)joint attention fusion (JAF)multi-scale feature extraction (MFE)self-attention mechanism (SAM)

DOI 10.3390/s23146322

PMID 37514617

发布时间 2023-07-31

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Sensors (Basel, Switzerland)

2023年23卷14期

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MJ-GAN: Generative Adversarial Network with Multi-Grained Feature Extraction and Joint Attention Fusion for Infrared and Visible Image Fusion.

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MJ-GAN: Generative Adversarial Network with Multi-Grained Feature Extraction and Joint Attention Fusion for Infrared and Visible Image Fusion.

Sensors (Basel, Switzerland)

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