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:	Xianglong Chen, Haipeng Wang, Yaohui Liang, Ying Meng, Shifeng Wang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2021-12-01
Colección:	Sensors
Materias:	image fusion adversarial neural network face recognition infrared images visible images
Acceso en línea:	https://www.mdpi.com/1424-8220/22/1/304
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