Image forgery detection with deep learning

Wenhao Hong


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