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

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

The challenging issues in infrared and visible image fusion (IVIF) are extracting and fusing as much useful information as possible contained in the source images, namely, the rich textures in visible images and the significant contrast in infrared images. Existing fusion methods cannot address this...

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Bibliographic Details
Main Authors: Danqing Yang, Xiaorui Wang, Naibo Zhu, Shuang Li, Na Hou
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
infrared and visible image fusion (IVIF)
multi-scale feature extraction (MFE)
joint attention fusion (JAF)
generative adversarial network (GAN)
self-attention mechanism (SAM)
Online Access:https://www.mdpi.com/1424-8220/23/14/6322

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https://www.mdpi.com/1424-8220/23/14/6322

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