A passive approach for the detection of splicing forgery in digital images
暂无分享,去创建一个
[1] Mohammad Bsoul,et al. A Hybrid Secure Watermarking Scheme Using Nonnegative Matrix Factorization and FastWalsh-Hadamard Transform , 2020, Journal of Applied Security Research.
[2] Akshay Girdhar,et al. Digital image splicing detection technique using optimal threshold based local ternary pattern , 2020, Multimedia Tools and Applications.
[3] Fazhi He,et al. A scalable region-based level set method using adaptive bilateral filter for noisy image segmentation , 2019, Multimedia Tools and Applications.
[4] Mohd. Abdul Muqeet,et al. Local binary patterns based on directional wavelet transform for expression and pose-invariant face recognition , 2019, Applied Computing and Informatics.
[5] Hamid A. Jalab,et al. New Texture Descriptor Based on Modified Fractional Entropy for Digital Image Splicing Forgery Detection , 2019, Entropy.
[6] Fazhi He,et al. A novel segmentation model for medical images with intensity inhomogeneity based on adaptive perturbation , 2018, Multimedia Tools and Applications.
[7] Choudhary Shyam Prakash,et al. An integrated method of copy-move and splicing for image forgery detection , 2018, Multimedia Tools and Applications.
[8] Xuanjing Shen,et al. Image splicing detection based on Markov features in discrete octonion cosine transform domain , 2018, IET Image Process..
[9] Vikas Maheshkar,et al. Markov Feature Extraction Using Enhanced Threshold Method for Image Splicing Forgery Detection , 2018, Smart Innovations in Communication and Computational Sciences.
[10] Ruxin Wang,et al. Digital image splicing detection based on Markov features in block DWT domain , 2018, Multimedia Tools and Applications.
[11] Rajat Subhra Chakraborty,et al. Discrete Cosine Transform Residual Feature Based Filtering Forgery and Splicing Detection in JPEG Images , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[12] Fazhi He,et al. A novel region-based active contour model via local patch similarity measure for image segmentation , 2018, Multimedia Tools and Applications.
[13] Zhi Zhang,et al. A Survey on Passive Image Copy-Move Forgery Detection , 2018, J. Inf. Process. Syst..
[14] Matthew C. Stamm,et al. Accurate and Efficient Image Forgery Detection Using Lateral Chromatic Aberration , 2018, IEEE Transactions on Information Forensics and Security.
[15] Tao Chen,et al. EXIF-white balance recognition for image forensic analysis , 2017, Multidimens. Syst. Signal Process..
[16] El-Sayed M. El-Alfy,et al. Robust content authentication of gray and color images using lbp-dct markov-based features , 2017, Multimedia Tools and Applications.
[17] Xiao Zhou,et al. Fragile Watermarking Based on LBP for Blind Tamper Detection in Images , 2017, J. Inf. Process. Syst..
[18] Wei Lu,et al. Joint image splicing detection in DCT and Contourlet transform domain , 2016, J. Vis. Commun. Image Represent..
[19] Savita Gupta,et al. A Passive Blind Approach for Image Splicing Detection Based on DWT and LBP Histograms , 2016, SSCC.
[20] X. Niu,et al. PCET based copy-move forgery detection in images under geometric transforms , 2016, Multimedia Tools and Applications.
[21] Satish Chand,et al. Image forgery detection using Markov features in undecimated wavelet transform , 2016, 2016 Ninth International Conference on Contemporary Computing (IC3).
[22] A Jeyasudha,et al. OBJECT RECOGNITION BASED ON LBP AND DISCRETE WAVELET TRANSFORM , 2016 .
[23] D. Vaishnavi,et al. Recognizing image splicing forgeries using histogram features , 2016, 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC).
[24] Satish Chand,et al. Texture Operator Based Image Splicing Detection Hybrid Technique , 2016, 2016 Second International Conference on Computational Intelligence & Communication Technology (CICT).
[25] Mahdi Hariri,et al. Image splicing forgery detection using local binary pattern and discrete wavelet transform , 2015, 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI).
[26] Ming Li,et al. Image splicing detection based on Markov features in QDCT domain , 2015, Neurocomputing.
[27] Jianhua Li,et al. Passive Image-Splicing Detection by a 2-D Noncausal Markov Model , 2015, IEEE Transactions on Circuits and Systems for Video Technology.
[28] Davide Cozzolino,et al. Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[29] Muhammad Ghulam,et al. Comparison between WLD and LBP descriptors for non-intrusive image forgery detection , 2014, 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings.
[30] Muhammad Ghulam,et al. Image forgery detection using steerable pyramid transform and local binary pattern , 2013, Machine Vision and Applications.
[31] Cheng-lin Zhao,et al. Enhanced state selection Markov model for image splicing detection , 2014, EURASIP J. Wirel. Commun. Netw..
[32] Muhammad Ghulam,et al. Splicing image forgery detection based on DCT and Local Binary Pattern , 2013, 2013 IEEE Global Conference on Signal and Information Processing.
[33] Jing Dong,et al. CASIA Image Tampering Detection Evaluation Database , 2013, 2013 IEEE China Summit and International Conference on Signal and Information Processing.
[34] Christian Riess,et al. Exposing Digital Image Forgeries by Illumination Color Classification , 2013, IEEE Transactions on Information Forensics and Security.
[35] Wei Lu,et al. Digital image splicing detection based on Markov features in DCT and DWT domain , 2012, Pattern Recognit..
[36] M. Latva-aho,et al. Distributed resource allocation for MISO downlink systems via the alternating direction method of multipliers , 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[37] David M. W. Powers,et al. Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation , 2011, ArXiv.
[38] Wei Su,et al. Rake transform and edge statistics for image forgery detection , 2010, 2010 IEEE International Conference on Multimedia and Expo.
[39] Jessica J. Fridrich,et al. On detection of median filtering in digital images , 2010, Electronic Imaging.
[40] Prabir Bhattacharya,et al. Watermarking 3D models using spectral mesh compression , 2009, Signal Image Video Process..
[41] Jing Dong,et al. Run-Length and Edge Statistics Based Approach for Image Splicing Detection , 2009, IWDW.
[42] Yun Q. Shi,et al. JPEG image steganalysis utilizing both intrablock and interblock correlations , 2008, 2008 IEEE International Symposium on Circuits and Systems.
[43] Yun Q. Shi,et al. A natural image model approach to splicing detection , 2007, MM&Sec.
[44] A. Ben Hamza,et al. Improved image watermarking scheme using fast Hadamard and discrete wavelet transforms , 2007, J. Electronic Imaging.
[45] Prabir Bhattacharya,et al. Spectral graph-theoretic approach to 3D mesh watermarking , 2007, GI '07.
[46] Shih-Fu Chang,et al. Detecting Image Splicing using Geometry Invariants and Camera Characteristics Consistency , 2006, 2006 IEEE International Conference on Multimedia and Expo.
[47] Robert D. Nowak,et al. Wavelet-based statistical signal processing using hidden Markov models , 1998, IEEE Trans. Signal Process..
[48] Prashant Srivastava,et al. Integration of wavelet transform, Local Binary Patterns and moments for content-based image retrieval , 2017, J. Vis. Commun. Image Represent..
[49] Muhammad Ghulam,et al. Passive detection of image forgery using DCT and local binary pattern , 2016, Signal, Image and Video Processing.
[50] Yiteng Pan,et al. An efficient similarity-based level set model for medical image segmentation , 2016 .
[51] Vijay Kumar,et al. Importance of Statistical Measures in Digital Image Processing , 2012 .
[52] Yiming Pi,et al. Revealing Image Splicing Forgery Using Local Binary Patterns of DCT Coefficients , 2012 .
[53] Chen Yi. Application of local standard deviation filtering in image processing , 2008 .
[54] Shih-Fu Chang,et al. A Data Set of Authentic and Spliced Image Blocks , 2004 .