GAN-HA: A generative adversarial network with a novel heterogeneous dual-discriminator network and a new attention-based fusion strategy for infrared and visible image fusion-Reference-Cited by-同舟云学术

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GAN-HA: A generative adversarial network with a novel heterogeneous dual-discriminator network and a new attention-based fusion strategy for infrared and visible image fusion

Published:2024-11 Issue: Volume:142 Page:105548
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Lu Guosheng,Fang Zile,Tian Jiaju,Huang Haowen,Xu Yuelong,Han Zhuolin,Kang Yaoming,Feng Can,Zhao Zhigang

Publisher

Elsevier BV

Reference79 articles.

1. Residual texture-aware infrared and visible image fusion with feature selection attention and adaptive loss;Pan;Infrared Phys. Technol.,2024

2. SeGFusion: A semantic saliency guided infrared and visible image fusion method;Xiong;Infrared Phys. Technol.,2024

3. LMDFusion: A lightweight infrared and visible image fusion network for substation equipment based on mask and residual dense connection;Chi;Infrared Phys. Technol.,2024

4. GAN-FM: Infrared and visible image fusion using GAN with full-scale skip connection and dual Markovian discriminators;Zhang;IEEE Trans. Computat. Imaging,2021

5. Infrared and visible image fusion via detail preserving adversarial learning;Ma;Inf. Fusion,2020

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