App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 9

Text-guided controllable infrared-visible image fusion network for complex degradation

Song Jinghao
Xu Feng
Chen Yue
Dept. of Video and Audio Material Examination, Criminal Investigation Police University of China, Shenyang 110854, China
DOI: 10.19734/j.issn.1001-3695.2025.12.0528

Abstract

To address the challenges in fusing infrared and visible images under various degradation conditions—where it is difficult to balance detail, contrast, and semantic consistency while lacking controllability—this paper proposes the Degradation-aware Mixture-of-Experts Text-guided Fusion (DMTFuse) network. This method predicts expert weights through degradation-aware routing to adaptively combine processes like rain removal, fog removal, and enhancement. It introduces text-driven feature modulation in a multi-scale backbone and designs pixel-level adaptive fusion and reconstruction constraints to stabilize semantic and textural information. Employing staged training, it incorporates “pattern-intensity” priors and achieves continuous text control via language distillation. On LLVIP, MSRS, M3FD, and RoadScene, DMTFuse achieves cross-dataset average values of AG=7.27, EN=7.54, SF=19.82, SD=55.33, VIF=0.94, and MI=3.26. DMTFuse improves target saliency and background texture and maintains visual naturalness under degraded conditions. Text commands enable smooth switching among multiple fusion strategies. The results show that DMTFuse supports interpretable and controllable IR–VIS fusion in complex degraded environments.

Foundation Support

"十三五"国家重点研发技术项目(2017YFC0821004)、2022辽宁省教育厅基本科研重大攻关项目(LJKZZ20220007)、中央高校基本科研业务重大培育项目(3242022004)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.12.0528
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 9

Publish History

[2026-05-29] Accepted Paper

Cite This Article

宋京昊, 许锋, 陈悦. 复杂退化下文本引导可控红外可见光图像融合网络 [J]. 计算机应用研究, 2026, 43 (9). (2026-06-02). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0528. (Song Jinghao, Xu Feng, Chen Yue. Text-guided controllable infrared-visible image fusion network for complex degradation [J]. Application Research of Computers, 2026, 43 (9). (2026-06-02). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0528. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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