DCU-Net: a dual-channel U-shaped network for image splicing forgery detection

The detection and location of image splicing forgery are a challenging task in the field of image forensics. It is to study whether an image contains a suspicious tampered area pasted from another image. In this paper, we propose a new image tamper location method based on dual-channel U-Net, that i...

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Detalles Bibliográficos
Autores principales: Ding, Hongwei, Chen, Leiyang, Tao, Qi, Fu, Zhongwang, Dong, Liang, Cui, Xiaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2021
Materias:
S.I. : Machine Learning Applications for Security
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359769/
https://www.ncbi.nlm.nih.gov/pubmed/34404963
http://dx.doi.org/10.1007/s00521-021-06329-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359769/
https://www.ncbi.nlm.nih.gov/pubmed/34404963
http://dx.doi.org/10.1007/s00521-021-06329-4

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