@inproceedings{9b1682c5358741fe9bdbcbbfc1902e17,
title = "Image tamper detection based on demosaicing artifacts",
abstract = "In this paper, we introduce tamper detection techniques based on artifacts created by Color Filter Array (CFA) processing in most digital cameras. The techniques are based on computing a single feature and a simple threshold based classifier. The efficacy of the approach was tested over thousands of authentic, tampered, and computer generated images. Experimental results demonstrate reasonably low error rates.",
keywords = "CFA, Digital image forensics, Tamper detection",
author = "Dirik, {Ahmet Emir} and Nasir Memon",
year = "2009",
doi = "10.1109/ICIP.2009.5414611",
language = "English (US)",
isbn = "9781424456543",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "1497--1500",
booktitle = "2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings",
note = "2009 IEEE International Conference on Image Processing, ICIP 2009 ; Conference date: 07-11-2009 Through 10-11-2009",
}