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Convolutional Neural Network Architecture for Recovering Watermark Synchronization
In this paper, we propose a convolutional neural network-based template architecture that compensates for the disadvantages of existing watermarking techniques that are vulnerable to geometric distortion. The proposed template consists of a template generation network, a template extraction network,...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570697/ https://www.ncbi.nlm.nih.gov/pubmed/32971823 http://dx.doi.org/10.3390/s20185427 |