A Survey of Deep Learning-Based Source Image Forensics

Image source forensics is widely considered as one of the most effective ways to verify in a blind way digital image authenticity and integrity. In the last few years, many researchers have applied data-driven approaches to this task, inspired by the excellent performance obtained by those technique...

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Detalles Bibliográficos
Autores principales: Yang, Pengpeng, Baracchi, Daniele, Ni, Rongrong, Zhao, Yao, Argenti, Fabrizio, Piva, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321025/
https://www.ncbi.nlm.nih.gov/pubmed/34460606
http://dx.doi.org/10.3390/jimaging6030009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321025/
https://www.ncbi.nlm.nih.gov/pubmed/34460606
http://dx.doi.org/10.3390/jimaging6030009

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