Image splicing detection based on convolutional neural network with weight combination strategy

Journal of Information Security and Applications - Tập 54 - Trang 102523 - 2020
Jinwei Wang1,2,3,4, Qiye Ni2, Guangjie Liu5, Xiangyang Luo4, Sunil Kr. Jha2
1Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, China
2School of Computer and Software, Nanjing University of Information Science and Technology, Jiangsu, 210044, China
3Shanxi Key Laboratory of Network and System Security, Xidian University, 710071, China
4State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China
5School of Electronic & Information Engeering, Nanjing University of Information Science and Technology, Jiangsu, 210044, China

Tài liệu tham khảo

Böhme, 2016, Media forensics, 231 Farid, 2016 Wang, 2019, Detecting double JPEG compressed color images with the same quantization matrix in spherical coordinates, IEEE Trans Circuits Syst Video Technol Wang, 2017, Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics, Multimed Tools Appl, 76, 23721, 10.1007/s11042-016-4153-0 Yin, 2019, Quaternion convolutional neural network for color image classification and forensics, IEEE Access, 7, 20293, 10.1109/ACCESS.2019.2897000 Wang, 2018, Identifying computer generated images based on quaternion central moments in color quaternion wavelet domain, IEEE Trans Circuits Syst Video Technol, 29, 2775, 10.1109/TCSVT.2018.2867786 Farid, 2003, Higher-order wavelet statistics and their application to digital forensics, 8, 94 Fu, 2006, Detection of image splicing based on hilbert-huang transform and moments of characteristic functions with wavelet decomposition, 177 Ng, 2004, Blind detection of photomontage using higher order statistics, IEEE Int Symp Circuits Syst, 5, V Fu, 2006, Detection of image splicing based on hilbert-huang transform and moments of characteristic functions with wavelet decomposition, 177 Chen, 2007, Image splicing detection using 2D phase congruency and statistical moments of characteristic function. Security, steganography, and watermarking of multimedia contents IX, Int Soc Opt Photonics, 6505, 65050R Wang, 2009, Effective image splicing detection based on image chroma, 1257 Sutthiwan, 2010, Rake transform and edge statistics for image forgery detection, 1463 Gu-Chuna, 2011, Blind detection of splicing image based on gray level Co-occurrence matrix of image DCT domain, J Shanghai Jiaotong Univ, 45, 1547 Sutthiwan, 2010, New developments in color image tampering detection, 3064 He, 2012, Digital image splicing detection based on Markov features in DCT and DWT domain, Pattern Recognit, 45, 4292, 10.1016/j.patcog.2012.05.014 Mahdian, 2009, Using noise inconsistencies for blind image forensics, Image Vis Comput, 27, 1497, 10.1016/j.imavis.2009.02.001 Farid, 2009, Exposing digital forgeries from JPEG ghosts, IEEE Trans Inf Forensics Secur, 4, 154, 10.1109/TIFS.2008.2012215 Hsu, 2006, Detecting image splicing using geometry invariants and camera characteristics consistency, 549 Gou, 2007, Noise features for image tampering detection and steganalysis, 6 Kee, 2011, Digital image authentication from JPEG headers, IEEE Trans Inf Forensics Secur, 6, 1066, 10.1109/TIFS.2011.2128309 Meng, 2010, Tamper detection for shifted double jpeg compression, 434 Rao, 2014, Harnessing motion blur to unveil splicing, IEEE Trans Inf Forensics and Secur, 9, 583, 10.1109/TIFS.2014.2302895 Bayar, 2016, A deep learning approach to universal image manipulation detection using a new convolutional layer, 5 Huang, 2017, Densely connected convolutional networks, 4700 He, 2016, Deep residual learning for image recognition, 770 Sabour, 2017, Dynamic routing between capsules, Adv Neural Inf Process Syst, 3856 Wang, 2018, Non-local neural networks, 7794 Rao, 2016, A deep learning approach to detection of splicing and copy-move forgeries in images, 1 Chen, 2008, Determining image origin and integrity using sensor noise, IEEE Trans Inf Forensics Secur, 3, 74, 10.1109/TIFS.2007.916285 Dong, 2013, Casia image tampering detection evaluation database, 422 Muhammad, 2014, Image forgery detection using steerable pyramid transform and local binary pattern, Mach Vis Appl, 25, 985, 10.1007/s00138-013-0547-4