[1] JUNG Kihyun. Block-based authentication scheme for forgery attacks on digital images[J]. Advanced Science Letters, 2016,22(9):2583-2587. DOI:info:doi/10.1166/asl.2016.7784.
[3] TARUN K,GOURAV K. Towards recent developments in the field of digital image forgery detection[J]. International Journal of Computer Applications in Technology, 2018,58(1):1-16.
[4] HU Wuchi,CHEN Weihao,HUANG Dengyuan. Effective image forgery detection of tampered foreground or background image based on image watermarking and alpha mattes[J]. Multimedia Tools and Applications, 2016,75(6):3495-3516.
[6] LYU Yingda,SHEN Xuanjing,CHEN Haipeng. Copy-paste detection based on an SIFT marked graph feature vector[J]. Chinese Journal of Electronics, 2017,26(2):345-350. DOI:10.1049/cje.2017.01.028.
[7] XIAO Jinke. Image forgery detection algorithm based on non-sampling wavelet transform and Zernike moments[J]. International Security Journals and Their Applications, 2016,10(2):27-38. DOI:10.14257/ijsia.2016.10.2.03.
[8] ROSTEN E,DRUMOND T. Machine learning for high-speed corner detection[C]// European Conference on Computer Vision. Graz,Austria:[s.n.], 2006:430-443.
[11] CLEMENCE D,ANDREA N,ANTJE T. SAR-SIFT for matching multiple SAR images and radargrammetry[J]. Pfg-Journal of Photogrammetry Remote Sensing and Geoinformation Science, 2017,85(3):149-158. DOI:10.1007/s41064-017-0019-y.
[12] ZHOU Changjiang,XI Chaoqiang,PANG Jingyin. Ambient noise data selection based on the asymmetry of cross-correlation functions for near surface applications[J]. Journal of Applied Geophysics, 2018,159(1):803-813.
[14] ZHU Ye,SHEN Xuanjing,CHEN Haipeng. Covert copy-move forgery detection based on color LBP[J]. Acta Automatica Sinica, 2017,43(3):390-397. DOI:10.16383/j.aas.2017.c160068.
[15] COELHO L,BORGES Y,JERONYMO D. Image forgery detection by semi-automatic wavelet soft-thresholding with error level analysis[J]. Expert Systems with Applications, 2017,85(1):348-356. DOI:10.1016/j.eswa.2017.05.044.