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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Vydané v:	Sensors (Basel, Switzerland) Ročník 22; číslo 14; s. 5149
Hlavní autori:	Wang, Hongfeng, Wang, Jianzhong, Xu, Haonan, Sun, Yong, Yu, Zibo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 08.07.2022 MDPI
Predmet:	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
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