Blind Detection of Copy-Move Forgery Based on Multi-Scale Autoconvolution Invariants
暂无分享,去创建一个
[1] Esa Rahtu,et al. A new convexity measure based on a probabilistic interpretation of images , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Esa Rahtu,et al. Affine invariant pattern recognition using multiscale autoconvolution , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Min Wu,et al. Robust and secure image hashing , 2006, IEEE Transactions on Information Forensics and Security.
[4] Ingemar J. Cox,et al. Secure spread spectrum watermarking for multimedia , 1997, IEEE Trans. Image Process..
[5] Wang Zhi-quan,et al. Fast and Robust Forensics for Image Region-duplication Forgery , 2009 .
[6] Zhiquan Wang,et al. Fast and Robust Forensics for Image Region-duplication Forgery: Fast and Robust Forensics for Image Region-duplication Forgery , 2010 .
[7] Wang Shuo-zhong. Is It Fake?——Image Authentication and Forgery Detection , 2010 .
[8] Tiegang Gao,et al. A robust detection algorithm for copy-move forgery in digital images. , 2012, Forensic science international.
[9] Hany Farid,et al. Photo Fakery and Forensics , 2009, Adv. Comput..
[10] Pan Feng,et al. A survey of passive technology for digital image forensics , 2007 .