Structural Correlation Based Method for Image Forgery Classification and Localization
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[1] Tuong Le,et al. A Novel Framework for Trash Classification Using Deep Transfer Learning , 2019, IEEE Access.
[2] Mario Manzo. Graph-Based Image Matching for Indoor Localization , 2019, Mach. Learn. Knowl. Extr..
[3] Chip-Hong Chang,et al. A PUF-Based Data-Device Hash for Tampered Image Detection and Source Camera Identification , 2020, IEEE Transactions on Information Forensics and Security.
[4] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[5] Mario Manzo,et al. Bag of ARSRG Words (BoAW) , 2019, Mach. Learn. Knowl. Extr..
[6] Xingming Sun,et al. Segmentation-Based Image Copy-Move Forgery Detection Scheme , 2015, IEEE Transactions on Information Forensics and Security.
[7] Chun-Su Park,et al. Fast and robust copy-move forgery detection based on scale-space representation , 2018, Multimedia Tools and Applications.
[8] Sung Wook Baik,et al. Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building , 2020, Sensors.
[9] Ming Yu,et al. Fractional quaternion cosine transform and its application in color image copy-move forgery detection , 2018, Multimedia Tools and Applications.
[10] Hui Zeng,et al. Image splicing localization using PCA-based noise level estimation , 2016, Multimedia Tools and Applications.
[11] Xinpeng Zhang,et al. Detecting Image Splicing Based on Noise Level Inconsistency , 2017, Multimedia Tools and Applications.
[12] Chi-Man Pun,et al. An End-to-End Dense-InceptionNet for Image Copy-Move Forgery Detection , 2020, IEEE Transactions on Information Forensics and Security.
[13] Chi-Man Pun,et al. Image Forgery Detection Using Adaptive Oversegmentation and Feature Point Matching , 2015, IEEE Transactions on Information Forensics and Security.
[14] Yuhui Zheng,et al. An Improved Splicing Localization Method by Fully Convolutional Networks , 2018, IEEE Access.
[15] Hui Kang,et al. Image Manipulation Detection and Localization Based on the Dual-Domain Convolutional Neural Networks , 2018, IEEE Access.
[16] Wei Lu,et al. Digital image splicing detection based on Markov features in DCT and DWT domain , 2012, Pattern Recognit..
[17] Jiantao Zhou,et al. Fast and Effective Image Copy-Move Forgery Detection via Hierarchical Feature Point Matching , 2019, IEEE Transactions on Information Forensics and Security.
[18] Goo-Rak Kwon,et al. Hybrid Image-Retrieval Method for Image-Splicing Validation , 2019, Symmetry.
[19] Chi-Man Pun,et al. Fast copy-move forgery detection using local bidirectional coherency error refinement , 2018, Pattern Recognit..
[20] Matthew C. Stamm,et al. Forensic Similarity for Digital Images , 2019, IEEE Transactions on Information Forensics and Security.
[21] Fenlin Liu,et al. Blind forensics of image gamma transformation and its application in splicing detection , 2018, J. Vis. Commun. Image Represent..
[22] Christian Riess,et al. Gradient-Based Illumination Description for Image Forgery Detection , 2020, IEEE Transactions on Information Forensics and Security.
[23] Alberto Del Bimbo,et al. Copy-move forgery detection and localization by means of robust clustering with J-Linkage , 2013, Signal Process. Image Commun..
[24] Xingming Sun,et al. Quaternion pseudo-Zernike moments combining both of RGB information and depth information for color image splicing detection , 2017, J. Vis. Commun. Image Represent..
[25] Qingtang Su,et al. Fractional Quaternion Zernike Moments for Robust Color Image Copy-Move Forgery Detection , 2018, IEEE Access.
[26] Goo-Rak Kwon,et al. Efficient image splicing detection algorithm based on markov features , 2018, Multimedia Tools and Applications.
[27] Stephen E. Robertson,et al. Understanding inverse document frequency: on theoretical arguments for IDF , 2004, J. Documentation.
[28] Yiannis Kompatsiaris,et al. Large-scale evaluation of splicing localization algorithms for web images , 2017, Multimedia Tools and Applications.
[29] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[30] Xiaoxia Wan,et al. An improved method for SIFT-based copy-move forgery detection using non-maximum value suppression and optimized J-Linkage , 2017, Signal Process. Image Commun..
[31] Davide Cozzolino,et al. Efficient Dense-Field Copy–Move Forgery Detection , 2015, IEEE Transactions on Information Forensics and Security.
[32] Goo-Rak Kwon,et al. Rotation and scale invariant upsampled log-polar fourier descriptor for copy-move forgery detection , 2016, Multimedia Tools and Applications.
[33] Yijun Yan,et al. Fusion of block and keypoints based approaches for effective copy-move image forgery detection , 2016, Multidimens. Syst. Signal Process..