Image Authenticity Decision Based on Random Sample Consensus and Circular Feature Selection

Author:

Li Xueyan1

Affiliation:

1. Department of Information Engineering, Wuhan University of Science and Technology, Wuhan, Hubei, China

Publisher

ACM Press

Reference12 articles.

1. Jiao Lixin, Du Zhenlong. Copy-paste image forgery blind detection based on mean shift [J]. Journal of Computer Applications, 2014, 34 (3):806--809.

2. Devanshi Chauhan, Dipali Kasat, Sanjeev Jain. Survey on Keypoint Based Copy-move Forgery Detection Methods on Image [J]. Procedia Computer Science, 2016, 85(11): 206--212.

3. Du Zhenlong, Yang Fan, Li Xiaoli. Blind detection of copy and paste forgery images based on complex feature [J]. Computer engineering and design, 2012, 33 (11): 4264--4267.

4. YAOH, QIAOT, TANGZJ. Detecting copy-move forgery using non-negative matrix factorization [J]. Proceedings of the 2011 third International Conference on Multimedia Information Networking and Security. Washington, DC: IEEE Computer Society, 2014: 591--594.

5. Wang Haoming, Yang Xiaoyuan. Detection Method for JPEG Image Based on the Difference of DCT Coefficient Histograms [J]. Journal of Sichuan University (Engineering Science Edition), 2014, 46(1):41--46.

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