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Exposing Digital Image Forgeries by Detecting Contextual Abnormality Using Convolutional Neural Networks
Traditionally, digital image forensics mainly focused on the low-level features of an image, such as edges and texture, because these features include traces of the image’s modification history. However, previous methods that employed low-level features are highly vulnerable, even to frequently used...
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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7219587/ https://ncbi.nlm.nih.gov/pubmed/32316220 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20082262 |
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