Enhancing Digital Image Forgery Detection Using Transfer Learning

Enhancing Digital Image Forgery Detection Using Transfer Learning

Nowadays, digital images are a main source of shared information in social media. Meanwhile, malicious software can forge such images for fake information. So, it’s crucial to identify these forgeries. This problem was tackled in the literature by various digital image forgery detection t...

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Bibliographic Details
Main Authors: Ashgan H. Khalil, Atef Z. Ghalwash, Hala Abdel-Galil Elsayed, Gouda I. Salama, Haitham A. Ghalwash
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep neural network (DNN)
image compression
image forgery detection (IFD)
pretrained model
transfer learning
Online Access:https://ieeexplore.ieee.org/document/10226188/

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