Real-Time Semantics-Driven Infrared and Visible Image Fusion Network

This paper proposes a real-time semantics-driven infrared and visible image fusion framework (RSDFusion). A novel semantics-driven image fusion strategy is introduced in image fusion to maximize the retention of significant information of the source image in the fusion image. First, a semantically s...

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Detalles Bibliográficos
Autores principales: Zheng, Binhao, Xiang, Tieming, Lin, Minghuang, Cheng, Silin, Zhang, Pengquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347274/
https://www.ncbi.nlm.nih.gov/pubmed/37447962
http://dx.doi.org/10.3390/s23136113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347274/
https://www.ncbi.nlm.nih.gov/pubmed/37447962
http://dx.doi.org/10.3390/s23136113

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