A Novel Infrared and Visible Image Fusion Approach Based on Adversarial Neural Network

The presence of fake pictures affects the reliability of visible face images under specific circumstances. This paper presents a novel adversarial neural network designed named as the FTSGAN for infrared and visible image fusion and we utilize FTSGAN model to fuse the face image features of infrared...

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Detalles Bibliográficos
Autores principales: Chen, Xianglong, Wang, Haipeng, Liang, Yaohui, Meng, Ying, Wang, Shifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749719/
https://www.ncbi.nlm.nih.gov/pubmed/35009852
http://dx.doi.org/10.3390/s22010304

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749719/
https://www.ncbi.nlm.nih.gov/pubmed/35009852
http://dx.doi.org/10.3390/s22010304

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