Abstract—With the advent of low-cost and high-resolution digital cameras, and sophisticated photo editing software, digital images can be easily manipulated and altered. Although good forgeries may leave no visual clues of having been tampered with,
In view of the higher time complexity of traditional copy-move forgery detection, bad robustness for the image rotation zoom and other follow-up retouching operations, a copy-move forgeries detection algorithm based on SIFT key points is studied. Fir
2019CVPR--ManTra-Net: Manipulation Tracing Network For Detection And Localization of Image Forgeries With Anomalous Features--已经使用jupyter转换成.py文件，且能正常运行
