1. Statistical identification and analysis of defect development in digital imagers;Leung,2009
2. Determining approximate age of digital images using sensor defects;Fridrich,2011
3. A machine learning approach to approximate the age of a digital image;Joechl,2021
4. Imagenet classification with deep convolutional neural networks;Krizhevsky;Adv. Neural Inf. Process. Syst.,2012
5. C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich, Going deeper with convolutions, in: Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition, 2015, pp. 1–9.