DRSNFuse: Deep Residual Shrinkage Network for Infrared and Visible Image Fusion

Infrared images are robust against illumination variation and disguises, containing the sharp edge contours of objects. Visible images are enriched with texture details. Infrared and visible image fusion seeks to obtain high-quality images, keeping the advantages of source images. This paper propose...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 22; H. 14; S. 5149
Hauptverfasser:	Wang, Hongfeng, Wang, Jianzhong, Xu, Haonan, Sun, Yong, Yu, Zibo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 08.07.2022 MDPI
Schlagworte:	Algorithms artificial texture suppression auto encoder and decoder channel-wise attention mechanism Deep learning deep residual shrinkage network image fusion Neural networks Semantics
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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