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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |