Abstract: With powerful computer and mighty software, seasoned users could turn digital media into what they want. The detection of digital tampering has become a crucial problem. In most of the time, digital tampering is not perceptible by human: however, some traces of digital tampering may be left in the media during the process. Based on this idea, we present a method in this paper that could reveal blurred regions that indicate possible tampering without any embedded information such as watermarking technique. Effectiveness and results are presented, robustness is also discussed.
@inproceedings{Hsiao:2005aa,
urltype = {Subscription},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1592538},
booktitle = {Proceedings of the First International Workshop on Systematic Approaches to Digital Forensic Engineering (SADFE'05)},
author = {Dun-Yu Hsiao and Soo-Chang Pei},
year = {2005},
title = {Detecting digital tampering by blur estimation},
pages = {264--278},
}