Image Forgery Detection and Localization via a Reliability Fusion Map

Moving away from hand-crafted feature extraction, the use of data-driven convolution neural network (CNN)-based algorithms facilitates the realization of end-to-end automated forgery detection in multimedia forensics. On the basis of fingerprints acquired by images from different camera models, the...

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Detalles Bibliográficos
Autores principales: Yao, Hongwei, Xu, Ming, Qiao, Tong, Wu, Yiming, Zheng, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700526/
https://www.ncbi.nlm.nih.gov/pubmed/33233380
http://dx.doi.org/10.3390/s20226668

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700526/
https://www.ncbi.nlm.nih.gov/pubmed/33233380
http://dx.doi.org/10.3390/s20226668

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