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Forensic analyses of digital images rely heavily on the traces of in-camera and out-camera processes left on the acquired images.
“Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising,”
M.K. Mihcak, I. Kozintsev, and K. Ramchandran, · 1999
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“Estimation of Primary Quantization Matrix in Double Compressed JPEG Images,”
J. Lukáš and J. Fridrich, · 2003
Earlier work this paper cites.
“Higher-order wavelet statistics and their application to digital forensics,”
H. Farid and S. Lyu, · 2003
Earlier work this paper cites.
“Statistical tools for digital forensics,”
A.C. Popescu and H. Farid, · 2004
Earlier work this paper cites.
“Detecting doctored images using camera response normality and consistency,”
Z. Lin, R. Wang, X. Tang, and H.-Y. Shum, · 2005
Earlier work this paper cites.
“Exposing digital forgeries in color filter array interpolated images,”
A.C. Popescu and H. Farid, · 2005
Earlier work this paper cites.
“How realistic is photorealistic?,”
S. Lyu and H. Farid, · 2005
Earlier work this paper cites.
“Exposing Digital Forgeries through Chromatic Aberration,”
M. Johnson and H. Farid, · 2006
Earlier work this paper cites.
“Detecting image splicing using geometry invariants and camera characteristics consistency,”
Y.-F. Hsu and S.-F. Chang, · 2006
Earlier work this paper cites.
“Detecting digital image forgeries using sensor pattern noise,”
Lukàš, J. Fridrich, and M. Goljan, · 2006
Earlier work this paper cites.
“Steganalysis based on markov model of thresholded prediction-error image,”
D. Zou, Y.Q. Shi, W. Su, and G. Xuan, · 2006
Earlier work this paper cites.
“Exposing Digital Forgeries in Complex Lighting Environments,”
M.K. Johnson and H. Farid, · 2007
Earlier work this paper cites.
“Noise features for image tampering detection and steganalysis,”
H. Gou, A. Swaminathan, and M. Wu, · 2007
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“Nonintrusive component forensics of visual sensors using output images,”
A. Swaminathan, M. Wu, and K. J. Ray Liu, · 2007
Earlier work this paper cites.
“Detecting digital image forgeries by measuring inconsistencies of blocking artifact,”
S. Ye, Q. Sun, and E-C. Chang, · 2007
Earlier work this paper cites.
“A Picture’s Worth: Digital Image Analysis and Forensics,” http://www.hackerfactor.com/papers/bh-usa-07-krawetz-wp.pdf, 2007
N. Krawets, · 2007
Earlier work this paper cites.
“Seam carving for content-aware image resizing,”
S. Avidan and A. Shamir, · 2007
Earlier work this paper cites.
“Steganalysis versus splicing detection,”
Y.Q. Shi, C. Chen, and G. Xuan, · 2008
Earlier work this paper cites.
“Determining image origin and integrity using sensor noise,”
M. Chen, J. Fridrich, M. Goljan, and J. Lukàš, · 2008
Earlier work this paper cites.
“Digital image forensics via intrinsic fingerprints,”
A. Swaminathan, M. Wu, and K. J. Ray Liu, · 2008
Earlier work this paper cites.
“Image tamper detection based on demosaicing artifacts,”
A.E. Dirik and N. Memon, · 2009
Earlier work this paper cites.
“Using noise inconsistencies for blind image forensics,”
B. Mahdian and S. Saic, · 2009
Earlier work this paper cites.
“Passive detection of doctored JPEG image via block artifact grid extraction,”
W. Li, Y. Yuan, and N. Yu, · 2009
Earlier work this paper cites.
“Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis,”
Z. Lin, J. He, X. Tang, and C.-H. Tang, · 2009
Earlier work this paper cites.
“On detection of median filtering in digital images,”
M. Kirchner and J. Fridrich, · 2010
Cited alongside, same era.
“The ‘Dresden Image Database’ for benchmarking digital image forensics,”
T. Gloe and R. Böhme, · 2010
Cited alongside, same era.
“Information forensics: An overview of the first decade,”
M. Stamm, M. Wu, and K.J. Ray Liu, · 2011
Cited alongside, same era.
“Digital image forgery detection based on lens and sensor aberration,”
I. Yerushalmy and H. Hel-Or, · 2011
Cited alongside, same era.
“Improved DCT coefficient analysis for forgery localization in JPEG images,”
T. Bianchi, A. De Rosa, and A. Piva, · 2011
Cited alongside, same era.
“An Overview on Image Forensics,”
A. Piva, · 2012
Cited alongside, same era.
“Image forgery localization based on multi-scale convolutional neural networks,”
Y. Liu, Q. Guan, X. Zhao, and Y. Cao, · 2016
Later among the works it cites.
“A deep learning approach to universal image manipulation detection using a new convolutional layer,”
B. Bayar and M.C. Stamm, · 2016
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“Learned forensic source similarity for unknown camera models,”
O. Mayer and M.C. Stamm, · 2016
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“Evaluation of random field models in multi-modal unsupervised tampering localization,”
P. Korus and J. Huang, · 2016
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“Image splicing detection via camera response function analysis,”
C. Chen, S. McCloskey, and J. Yu, · 2017
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“Statistical detection of JPEG traces in digital images in uncompressed formats,”
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“Forgery authentication in extreme wide-angle lens using distortion cue and fake saliency map,”
H. Fu and X. Cao, · 2012
Cited alongside, same era.
“Image forgery localization via fine-grained analysis of CFA artifacts,”
P. Ferrara, T. Bianchi, A. De Rosa, and A. Piva, · 2012
Cited alongside, same era.
“Image Forgery Localization via Block-Grained Analysis of JPEG Artifacts,”
T. Bianchi and A. Piva, · 2012
Cited alongside, same era.
“Digital image splicing detection based on Markov features in DCT and DWT domain,”
Z. He, W. Lu, W. Sun, and J. Huang, · 2012
Cited alongside, same era.
“Rich models for steganalysis of digital images,”
J. Fridrich and J. Kodovsky, · 2012
Cited alongside, same era.
“Exposing digital image forgeries by illumination color classification,”
T. de Carvalho, C. Riess, E. Angelopoulou, H. Pedrini, and A. Rocha, · 2013
Cited alongside, same era.
C. Pasquini, G. Boato, and F. Pèrez-Gonzàlez, · 2017
Later among the works it cites.
“Multi-scale analysis strategies in PRNU-based tampering localization,”
P. Korus and J. Huang, · 2017
Later among the works it cites.
“PRNU-based forgery detection with discriminative random fields,”
S. Chakraborty and M. Kirchner, · 2017
Later among the works it cites.
“Detecting image splicing based on noise level inconsistency,”
H. Yao, S. Wang, X. Zhang, C. Qin, and J. Wang, · 2017
Later among the works it cites.
“Image splicing localizatin using PCA-based noise level estimation,”
H. Zeng, Y. Zhan, X. Kang, and X. Lin, · 2017
Later among the works it cites.
“Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection,”
D. Cozzolino, G. Poggi, and L. Verdoliva, · 2017
Later among the works it cites.
“Two-stream neural networks for tampered face detection,”
P. Zhou, X. Han, V. Morariu, and L. Davis, · 2017
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“Exploiting spatial structure for localizing manipulated image regions,”
J.H. Bappy, A.K. Roy-Chowdhury, J. Bunk, L. Nataraj, and B.S. Manjunath, · 2017
Later among the works it cites.
“Tampering Detection and Localization through Clustering of Camera-Based CNN Features,”
L. Bondi, S. Lameri, D. Güera, P. Bestagini, E.J. Delp, and S. Tubaro, · 2017
Later among the works it cites.
“Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,”
K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang, · 2017
Later among the works it cites.
“Videos versus still images: asymmetric sensor pattern noise comparison on mobile phones,”
C. Galdi, F. Hartung, and J.-L. Dugelay, · 2017
Later among the works it cites.
“Vision: a video and image dataset for source identification,”
D. Shullani, M. Fontani, M. Iuliani, O. Al Shaya, and A. Piva, · 2017
Later among the works it cites.
“High-resolution image inpainting using multi-scale neural patch synthesis,”
C. Yang, X. Lu, Z. Lin, E. Shechtman, O. Wang, and H. Li, · 2017
Later among the works it cites.
“Identification of various image operations using residual-based features,”
H. Li, W. Luo, X. Qiu, and J. Huang, · 2018
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“Image manipulation detection using sensor linear pattern,”
M. Goljan, J. Fridrich, and M. Kirchner, · 2018
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“Learning rich features for image manipulation detection,”
P. Zhou, X. Han, V.I. Morariu2, and L.S. Davis, · 2018
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“Image Splicing Localization using a Multi-task Fully Convolutional Network (MFCN),”
R. Salloum, Y. Ren, and C. C. Jay Kuo, · 2018
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“Fighting fake news: Image splice detection via learned self-consistency,”
M. Huh, A. Liu, A. Owens, and A.A. Efros, · 2018
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“Content-aware detection of JPEG grid inconsistencies for intuitive image forensics,”
C. Iakovidou, M. Zampoglou, S. Papadopoulos, and Y. Kompatsiaris, · 2018
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