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Image forgery detection with deep learning


Wenhao Hong

12/05/2023

Supervised by Xianfang Sun; Moderated by Sylwia Polberg

Image forgery detection is to detect images that have been modified using some image processing tools. The aim of this project is to analyse and implement image forgery detection algorithms with deep learning. The student should have a good programming skill and a relatively strong mathematical background.


Initial Plan (06/02/2023) [Zip Archive]

Final Report (12/05/2023) [Zip Archive]

Publication Form