Digital Image Forgery Detection Using JPEG Features and Local Noise Discrepancies

Wide availability of image processing software makes counterfeiting become an easy and low-cost way to distort or conceal facts. Driven by great needs for valid forensic technique, many methods have been proposed to expose such forgeries. In this paper, we proposed an integrated algorithm which was...

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Detalles Bibliográficos
Autores principales: Liu, Bo, Pun, Chi-Man, Yuan, Xiao-Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976819/
https://www.ncbi.nlm.nih.gov/pubmed/24955389
http://dx.doi.org/10.1155/2014/230425

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976819/
https://www.ncbi.nlm.nih.gov/pubmed/24955389
http://dx.doi.org/10.1155/2014/230425

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