Concepedia

A novel deep learning framework for copy-moveforgery detection in images

Mohamed A. Elaskily, Heba A. Elnemr, Ahmed Sedik, Mohamed M. Dessouky, Ghada M. El‐Banby, Osama Elshakankiry, Ashraf A. M. Khalaf, Heba K. Aslan, Osama S. Faragallah, Fathi E. Abd El‐Samie

Multimedia Tools and Applications · 2020 · 96 citations · 46 references

Concepts

ComputingComputer ScienceComputer VisionMachine LearningMachine VisionDeep LearningMotion EstimationObject DetectionObject RecognitionPattern RecognitionCopy-move Forgery DetectionDeep Image FeaturesDeep Learning-based Detection

References

46

Recent advances in convolutional neural networks

Jiuxiang Gu, Zhenhua Wang, Jason Kuen et al. · Pattern Recognition · 2017 · 6.3K citations

Computing, Computer Science, Computer Vision +10

Signal Processing: Image Communication

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas et al. · 2018 · 1.1K citations

Natural Sciences, Computer Science, Electrical Engineering +12

A SIFT-Based Forensic Method for Copy–Move Attack Detection and Transformation Recovery

Irene Amerini, Lamberto Ballan, Roberto Caldelli et al. · IEEE Transactions on Information Forensics and Security · 2011 · 1K citations · Full text

Computing, Computer Science, Authentication +13

Detection of Copy-Move Forgery in Digital Images

Jessica Fridrich · 2004 · 992 citations

Computing, Information Technology, Computer Vision +13

Image forgery detection

Hany Farid · IEEE Signal Processing Magazine · 2009 · 909 citations

Computing, Information Technology, Computer Vision +16