[1] Maryam Jaberi, George Bebis, Muhammad Hussain. Accurate and robust localization of duplicated region in copy-move image forgery ［J］. Machine Vision and Applications, 2014, 25(2): 451-475.
[4] Shin Y D. Fast detection of duplicated forgery image using sub-sampling ［J］. Journal of Convergence Information Technology, 2015, 10(2): 17-25.
[5] Muhammad G, Al-Hammadi M H, Hussain M, et al. Image forgery detection using steerable pyramid transform and local binary pattern ［J］. Machine Vision and Applications, 2014, 25(4): 985-995.
[6] Wu Yunjie, Deng Yu, Duan Haibin. Dual tree complex wavelet transform approach to copy-rotate-move forgery detection ［J］. Science China Information Sciences, 2014, 57(1): 1-12.
[7] Vinoth S, et al. Neural network modeling of color array filter for digital forgery detection using kernel LDA ［J］. Procedia Technology, 2013, 10(12): 498-504.
[9] Chang Cheng I, Hsieh Chiehjung. Image forgery using an enhanced Bayesian matting algorithm ［J］. Intelligent Automation and Soft Computing, 2011, 17(2): 269-281.
[10] Gavin Lynch, Shih Frank Y. An efficient expanding block algorithm for image copy-move forgery detection ［J］. Information Sciences, 2013, 239(12): 253-265.
[11] Liu Bo, Pun Chiman, Yuan Xiaochen. Digital image forgery detection using JPEG features and local noise discrepancies ［J］. The Scientific World Journal, 2014, 38(12): 25-36.
[12] Min Gu Hwang, Dong Hwan Har. Identification method for digital image forgery and filtering region through interpolation ［J］. Journal of Forensic Sciences, 2014, 49(5): 1372-1385.
[13] Tiziano Bianchi, et al. Image forgery localization via block-grained analysis of JPEG artifacts ［J］. IEEE Transactions on Information Forensics and Security, 2012, 7(3): 1003-1017.
