@inproceedings{11631dbaa86842a9a804102de3a5f73f,
title = "New features to identify computer generated images",
abstract = "Discrimination of computer generated images from real images is becoming more and more important. In this paper, we propose the use of new features to distinguish computer generated images from real images. The proposed features are based on the differences in the acquisition process of images. More specifically, traces of demosaicking and chromatic aberration are used to differentiate computer generated images from digital camera images. It is observed that the former features perform very well on high quality images, whereas the latter features perform consistently across a wide range of compression values. The experimental results show that proposed features are capable of improving the accuracy of the state-of-the-art techniques.",
keywords = "Bayer filter, Chromatic aberration, Computer generated, Demosaicking, Digital image forensics",
author = "Dirik, {A. E.} and S. Bayram and Senear, {H. T.} and N. Memon",
year = "2007",
doi = "10.1109/ICIP.2007.4380047",
language = "English (US)",
isbn = "1424414377",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "IV433--IV436",
booktitle = "2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings",
note = "14th IEEE International Conference on Image Processing, ICIP 2007 ; Conference date: 16-09-2007 Through 19-09-2007",
}