Infrared and Visible Image Fusion Method Using Salience Detection and Convolutional Neural Network

This paper presents an algorithm for infrared and visible image fusion using significance detection and Convolutional Neural Networks with the aim of integrating discriminatory features and improving the overall quality of visual perception. Firstly, a global contrast-based significance detection al...

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Detalles Bibliográficos
Autores principales: Wang, Zetian, Wang, Fei, Wu, Dan, Gao, Guowang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319094/
https://www.ncbi.nlm.nih.gov/pubmed/35891107
http://dx.doi.org/10.3390/s22145430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319094/
https://www.ncbi.nlm.nih.gov/pubmed/35891107
http://dx.doi.org/10.3390/s22145430

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