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README.md
README.md
 
 

README.md

Source Camera Identification (SCI)

A list of papers, codes and other interesting collections pertaining to source camera identification

An overview: Piva, Alessandro. "An overview on image forensics." ISRN Signal Processing 2013 (2013). pdf

Statistical model-based algorithm

  1. Chen, Chen, and Matthew C. Stamm. "Camera model identification framework using an ensemble of demosaicing features." Information Forensics and Security (WIFS), 2015 IEEE International Workshop on. IEEE, 2015. pdf

  2. Qiao, Tong, et al. "Individual camera device identification from JPEG images." Signal Processing: Image Communication 52 (2017): 74-86. pdf

  3. Venkata, Udaya Sameer, and Ruchira Naskar. "Eliminating the effects of illumination condition in feature based camera model identification." Journal of Visual Communication and Image Representation 52 (2018): 24-32. pdf

  4. Filler, Tomás, Jessica Fridrich, and Miroslav Goljan. "Using sensor pattern noise for camera model identification." Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on. IEEE, 2008. pdf

  5. Xu, Bingchao, et al. "Source camera identification from image texture features." Neurocomputing 207 (2016): 131-140. pdf

  6. Xu, Guanshuo, and Yun Qing Shi. "Camera model identification using local binary patterns." Multimedia and Expo (ICME), 2012 IEEE International Conference on. IEEE, 2012. pdf

  7. Lin, Xufeng, and Chang-Tsun Li. "Preprocessing reference sensor pattern noise via spectrum equalization." IEEE Transactions on Information Forensics and Security 11.1 (2016): 126-140. pdf

Deep learning-based algorithm

  1. Bondi, Luca, et al. "First steps toward camera model identification with convolutional neural networks." IEEE Signal Processing Letters 24.3 (2017): 259-263. pdf

  2. Bondi, Luca, et al. "A preliminary study on convolutional neural networks for camera model identification." Electronic Imaging 2017.7 (2017): 67-76. pdf

  3. Tuama, Amel, Frédéric Comby, and Marc Chaumont. "Camera model identification with the use of deep convolutional neural networks." Information Forensics and Security (WIFS), 2016 IEEE International Workshop on. IEEE, 2016. pdf

  4. Freire-Obregón, David, et al. "Deep learning for source camera identification on mobile devices." Pattern Recognition Letters (2018). pdf

  5. Yang, Pengpeng, et al. "Source camera identification based on content-adaptive fusion residual networks." Pattern Recognition Letters (2017). pdf

  6. Chen, Yunshu, Yue Huang, and Xinghao Ding. "Camera model identification with residual neural network." Image Processing (ICIP), 2017 IEEE International Conference on. IEEE, 2017. pdf