@inproceedings{c4215902a9734e2fa2305e8ad7c0ac49,
title = "Improvements on sensor noise based source camera identification",
abstract = "In [1], a novel method for identifying the source camera of a digital image is proposed. The method is based on first extracting imaging sensor's pattern noise from many images and later verifying its presence in a given image through a correlative procedure. In this paper, we investigate the performance of this method in a more realistic setting and provide results concerning its detection performance. To improve the applicability of the method as a forensic tool, we propose an enhancement over it by also verifying that class properties of the image in question are in agreement with those of the camera. For this purpose, we identify and compare characteristics due to demosaicing operation. Our results show that the enhanced method offers a significant improvement in the performance.",
keywords = "Demosaicing artifacts, Image forensics, Pattern noise, Source digital camera identification",
author = "Y. Sutcu and S. Bayram and Sencar, {H. T.} and N. Memon",
year = "2007",
doi = "10.1109/icme.2007.4284577",
language = "English (US)",
isbn = "1424410177",
series = "Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007",
publisher = "IEEE Computer Society",
pages = "24--27",
booktitle = "Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007",
note = "IEEE International Conference onMultimedia and Expo, ICME 2007 ; Conference date: 02-07-2007 Through 05-07-2007",
}