Multimedia Security, Volume 1. William Puech
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Fridrich, J., Goljan, M., Du, R. (2001). Steganalysis based on JPEG compatibility. Multimedia Systems and Applications IV, 4518, 275–281.
Getreuer, P. (2011). Zhang-Wu directional LMMSE image demosaicking. Image Processing On Line, 1, 117–126.
Gharbi, M., Chaurasia, G., Paris, S., Durand, F. (2016). Deep joint demosaicking and denoising. ACM Trans. Graph., 35(6), 191:1–191:12.
Ghosh, A., Zhong, Z., Boult, T.E., Singh, M. (2019). Spliceradar: A learned method for blind image forensics. In Conference on Computer Vision and Pattern Recognition Workshops. IEEE, Long Beach.
Gloe, T. (2012). Feature-based forensic camera model identification. In Transactions on Data Hiding and Multimedia Security VIII, Shi, Y.Q. (ed.). Springer, Berlin, Heidelberg.
González Fernández, E., Sandoval Orozco, A., García Villalba, L., Hernandez-Castro, J. (2018). Digital image tamper detection technique based on spectrum analysis of cfa artifacts. Sensors, 18(9), 2804.
Hamilton Jr, J.F. and Adams Jr, J.E. (1997). Adaptive color plan interpolation in single sensor color electronic camera. Document, US Patent, 5,629,734.
Huh, M., Liu, A., Owens, A., Efros, A.A. (2018). Fighting fake news: Image splice detection via learned self-consistency. In European Conference on Computer Vision. ECCV, Munich.
Iakovidou, C., Zampoglou, M., Papadopoulos, S., Kompatsiaris, Y. (2018). Contentaware detection of JPEG grid inconsistencies for intuitive image forensics. Journal of Visual Communication and Image Representation, 54, 155–170.
Immerkær, J. (1996). Fast noise variance estimation. Computer Vision and Image Understanding, 64(2), 300–302.
Kirchner, M. (2010). Efficient estimation of CFA pattern configuration in digital camera images. In Media Forensics and Security Conference. IS&T, San Jose.
Lebrun, M., Colom, M., Morel, J.-M. (2013). Secrets of image denoising cuisine. Image Processing On Line, 2013, 173–197.
Lebrun, M., Colom, M., Morel, J. (2015). Multiscale image blind denoising. IEEE Transactions on Image Processing, 24(10), 3149–3161.
Lee, J.-S. (1981). Refined filtering of image noise using local statistics. Computer Graphics and Image Processing, 15(4), 380–389.
Lee, J.-S. and Hoppel, K. (1989). Noise modeling and estimation of remotely-sensed images. In 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium. IEEE, Vancouver.
Li, W., Yuan, Y., Yu, N. (2009). Passive detection of doctored JPEG image via block artifact grid extraction. Signal Processing, 89(9), 1821–1829.
Lin, W., Tjoa, S., Zhao, H., Ray Liu, K. (2009). Digital image source coder forensics via intrinsic fingerprints. IEEE Transactions on Information Forensics and Security, 4(3), 460–475.
Liu, C., Freeman, W.T., Szeliski, R., Kang, S.B. (2006). Noise estimation from a single image. In Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, Washington DC.
Losson, O. and Dinet, E. (2012). From the sensor to color images. In Digital Color – Acquisition, Perception, Coding and Rendering, Fernandez-Maloigne, C., Robert-Inacio, F., Macaire, L. (eds). ISTE Ltd, London and John Wiley & Sons, New York.
Lowe, D.G. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2), 91–110.
Mahdian, B. and Saic, S. (2009). Using noise inconsistencies for blind image forensics. Image and Vision Computing, 27(10), 1497–1503.
Mastin, G.A. (1985). Adaptive filters for digital image noise smoothing: An evaluation. Computer Vision, Graphics, and Image Processing, 31(1), 103–121.
Mayer, O. and Stamm, M.C. (2020). Forensic similarity for digital images. IEEE Transactions on Information Forensics and Security, 15, 1331–1346.
Minami, S. and Zakhor, A. (1995). An optimization approach for removing blocking effects in transform coding. IEEE Transactions on Circuits and Systems for Video Technology, 5(2), 74–82.
Nikoukhah, T., Anger, J., Ehret, T., Colom, M., Morel, J., Grompone von Gioi, R. (2019). JPEG grid detection based on the number of DCT zeros and its application to automatic and localized forgery detection. In Conference on Computer Vision and Pattern Recognition Workshops. IEEE, Long Beach.
Nikoukhah, T., Colom, M., Morel, J.-M., Grompone von Gioi, R. (2020). Local JPEG grid detector via blocking artifacts, a forgery detection tool. Image Processing On Line, 10, 24–42.
Olsen, S.I. (1993). Estimation of noise in images: An evaluation. CVGIP: Graphical Models Image Processing, 55(4), 319–323.
Pan, X., Zhang, X., Lyu, S. (2011). Exposing image forgery with blind noise estimation. In Multimedia Workshop on Multimedia and Security. ACM, Buffalo.
Pevny, T. and Fridrich, J. (2008). Detection of double-compression in JPEG images for applications in steganography. IEEE Transactions on Information Forensics and Security, 3(2), 247–258.
Ponomarenko, N.N., Lukin, V.V., Zriakhov, M.S., Kaarna, A., Astola, J. (2007). An automatic approach to lossy compression of aviris images. In International Geoscience and Remote Sensing Symposium. IEEE, Barcelona.
Popescu, A. and Farid, H. (2005). Exposing digital forgeries in color filter array interpolated images. Transactions on Signal Processing, 53(10), 3948–3959.
Rank, K., Lendl, M., Unbehauen, R. (1999). Estimation of image noise variance. IEEE Proceedings – Vision, Image and Signal Processing, 146(2), 80–84.
Shin, H.J., Jeon, J.J., Eom, I.K. (2017). Color filter array pattern identification using variance of color difference image. Journal of Electronic Imaging, 26(4), 1–12.
Thai, T.H., Cogranne, R., Retraint, F., Doan, T. (2017). JPEG quantization step estimation and its applications to digital image forensics. IEEE Transactions on Information Forensics and Security, 12(1), 123–133.
Voorhees, H. and Poggio, T. (1987). Detecting textons and texture boundaries in natural images. In International Conference on Computer Vision. IEEE, London.
Wallace, G.K. (1992). The JPEG still picture compression standard. IEEE Transactions on Consumer Electronics, 38(1), xviii–xxxiv.
Wang, S.-Y., Wang, O., Owens, A., Zhang, R., Efros, A.A. (2019). Detecting photoshopped faces by scripting photoshop. In International Conference on Computer Vision. IEEE, Seoul.
Wen, B., Zhu, Y., Subramanian, R., Ng, T.-T., Shen, X., Winkler, S. (2016). Coverage – A novel database for copy-move forgery detection. In International Conference on Image Processing. IEEE, Phoenix.
Wu, Y., Abd-Almageed, W., Natarajan, P. (2018). Busternet: Detecting copy-move image forgery with source/target localization. In European Conference on Computer Vision. IEEE, Munich.
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